QIN, Ya, Rizk Masoud Rizkallah ABD, Harish GARG, Aboul Ella HASSANIEN a Václav SNÁŠEL. Intuitionistic fuzzy-based TOPSIS method for multi-criterion optimization problem: a novel compromise methodology.
AIMS Mathematics. SPRINGFIELD: American Institute of Mathematical Sciences, 2023,
8(7), s. 16825-16845. ISSN 2473-6988.
[Detail] JANČA, Ondřej, Eliška OCHODKOVÁ, E. KRIEGOVA, P. HORAK, M. SKACELOVA a Miloš KUDĚLKA. Real-world data in rheumatoid arthritis: patient similarity networks as a tool for clinical evaluation of disease activity.
Applied Network Science. Vídeň: Springer, 2023,
8(1), s. nestránkováno. ISSN 2364-8228.
[Detail] ŠAFAŘÍK, Jakub a Václav SNÁŠEL. Acceleration of Particle Swarm Optimization with AVX Instructions.
Applied Sciences. MDPI Open Access Publishing, 2023,
13(2), s. nestránkováno. ISSN 2076-3417.
[Detail] ZELINKA, Ivan, Lumír KOJECKÝ, Marek LAMPART, Jana NOWAKOVÁ a Jan PLUCAR. iSOMA swarm intelligence algorithm in synthesis of quantum computing circuits.
Applied Soft Computing. San Diego: Elsevier, 2023,
142(July), s. nestránkováno. ISSN 1568-4946.
[Detail] ZELINKA, Ivan, Melvin Alexis LARA DE LEON, Leah C WINDSOR a Rene LOZI. Softcomputing in identification of the origin of Voynich manuscript by comparison with ancient dialects.
Applied Soft Computing. San Diego: Elsevier, 2023,
138(May), s. nestránkováno. ISSN 1568-4946.
[Detail] BASTERRECH, Sebastian a Gerardo RUBINO. Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction.
Applied Soft Computing. San Diego: Elsevier, 2023,
144(September), s. nestránkováno. ISSN 1568-4946.
[Detail] SNÁŠEL, Václav, Rizk Masoud Rizkallah ABD, Davut IZCI a Serdar EKINCI. Weighted mean of vectors optimization algorithm and its application in designing the power system stabilizer.
Applied Soft Computing. San Diego: Elsevier, 2023,
136(MAR 2023), s. nestránkováno. ISSN 1568-4946.
[Detail] SNÁŠEL, Václav, Irina PERFILIEVA, Meenu SINGH, Millie PANT, Zahra ALIJANI a Lingping KONG. A rankability-based fuzzy decision making procedure for oil supplier selection.
Applied Soft Computing. San Diego: Elsevier, 2023,
149(prosinec 2023), s. nestránkováno. ISSN 1568-4946.
[Detail] KONG, Lingping, Seyedali MIRJALILI, Václav SNÁŠEL, Jeng-Shyang PAN, Akshaya RAJ, Radana VILÍMKOVÁ KAHÁNKOVÁ a Radek MARTINEK. Analysis on population-based algorithm optimized filter for non-invasive fECG extraction.
Applied Soft Computing. Shannon: Elsevier, 2023,
142(Jul 2023), s. nestránkováno. ISSN 1568-4946.
[Detail] VILÍMKOVÁ KAHÁNKOVÁ, Radana, Kateřina BARNOVÁ, René JAROŠ, Jan PAVLICEK, Václav SNÁŠEL a Radek MARTINEK. Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0.
BMC Pregnancy and Childbirth. LONDON: BioMed Central, 2023,
23(1), s. nestránkováno. ISSN 1471-2393.
[Detail] ALEXEEVA, Tatyana, Quoc Bao DIEP, Nikolay KUZNETSOV a Ivan ZELINKA. Forecasting and stabilizing chaotic regimes in two macroeconomic models via artificial intelligence technologies and control methods.
Chaos, Solitons & Fractals. Shannon: Elsevier, 2023,
170(5), s. nestránkováno. ISSN 0960-0779.
[Detail] STEPANYAN, A., A. PETRACKOVA, S. HAKOBYAN, Jakub SAVARA, S. DAVITAVYAN, E. KRIEGOVA a A. ARAKELYAN. Long-term environmental metal exposure is associated with hypomethylation of CpG sites in NFKB1 and other genes related to oncogenesis.
Clinical Epigenetics. Londýn: BioMed Central, 2023,
15(1), s. nestránkováno. ISSN 1868-7075.
[Detail] ZJAVKA, Ladislav. Wind Speed and Global Radiation Forecasting Based on Differential, Deep and Stochastic Machine Learning of Patterns in 2-level Historical Meteo-Quantity sets.
Complex & Intelligent Systems. Springer, 2023,
9(4), s. 3871–3885. ISSN 2199-4536.
[Detail] PHAM, Phuong N. H, Canh, V PHAM, Hieu, V DUONG, Václav SNÁŠEL a Nguyen Trung THANH. Minimizing cost for influencing target groups in social network: A model and algorithmic approach.
Computer Communications. New York: Elsevier Science, 2023,
212(prosinec 2023), s. 182-197. ISSN 0140-3664.
[Detail] BARNOVÁ, Kateřina, Martina MIKOLÁŠOVÁ, Radana VILÍMKOVÁ KAHÁNKOVÁ, René JAROŠ, Aleksandra KAWALA-STERNIUK, Václav SNÁŠEL, Seyedali MIRJALILI, Mariusz PELC a Radek MARTINEK. Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction.
Computers in Biology and Medicine. San Diego: Elsevier, 2023,
163(107135), s. nestránkováno. ISSN 0010-4825.
[Detail] HERCÍK, Radim a Radek SVOBODA. Collecting and Pre-Processing Data for Industry 4.0 Implementation Using Hydraulic Press.
Data. Basilej: MDPI Open Access Publishing, 2023,
8(4), s. nestránkováno. ISSN 2306-5729.
[Detail] KUNDRÁT, J., K. REČKA, Martina LITSCHMANNOVÁ, Adéla KONDÉ, F. BAUMGARTNER, Tereza BENEŠOVÁ, K. PAULÍK, Tomáš FABIÁN, Lenka SKANDEROVÁ, H. BERANOVÁ a D. ULLMANNOVÁ. Metaphors of distance, size and temperature in sociometry of small social groups: A generalizability theory approach. Přel. .
Education and Information Technologies. Vídeň: Springer, 2023, s. nestránkováno. ISSN 1360-2357.
[Detail] MENG, Weiqi, Dongran SONG, Xiaofei DENG, Mi DONG, Jian YANG, Rizk Masoud Rizkallah ABD a Václav SNÁŠEL. Dynamic Optimal Power Flow of Active Distribution Network Based on LSOCR and Its Application Scenarios.
Electronics. BASEL: MDPI Open Access Publishing, 2023,
12(7), s. nestránkováno. ISSN 2079-9292.
[Detail] ZJAVKA, Ladislav. Solar and Wind Quantity 24 h—Series Prediction Using PDE-Modular Models Gradually Developed According to Spatial Pattern Similarity.
Energies. MDPI Open Access Publishing, 2023,
16(3), s. 1-19. ISSN 1996-1073.
[Detail] ZJAVKA, Ladislav. Power Quality daily Predictions in Smart Off-grids using Differential, Deep and Statistics Machine Learning models processing NWP-data.
Energy Strategy Reviews. 2023,
47(1), s. 1-13. ISSN 2211-467X.
[Detail] BUI, Quang-Thinh, My-Phuong NGO, Václav SNÁŠEL, Witold PEDRYCZ a Bay VO. Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems.
Engineering Applications of Artificial Intelligence. Oxford: Pergamon - Elsevier Science, Ltd., 2023,
122(červen 2023), s. nestránkováno. ISSN 0952-1976.
[Detail] KLEIN, Lukáš, David SEIDL, Jan FULNEČEK, Lukáš PROKOP, Stanislav MIŠÁK a Jiří DVORSKÝ. Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks.
Expert Systems with Applications. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2023,
213(A), s. nestránkováno. ISSN 0957-4174.
[Detail] TIWARI, Arti, Kamanasish BHATTACHARJEE, Millie PANT, Shilpa SRIVASTAVA a Václav SNÁŠEL. An AI-enabled research support tool for the classification system of COVID-19.
Frontiers in Public Health. LAUSANNE: Frontiers, 2023,
11(březen 2023), s. nestránkováno. ISSN 2296-2565.
[Detail] VU, Vinh V, Mi T. H LAM, Thuy T. M DUONG, Ly T MANH, Thuy T. T NGUYEN, Le V NGUYEN, Unil YUN, Václav SNÁŠEL a Bay VO. FTKHUIM: A Fast and Efficient Method for Mining Top-K High-Utility Itemsets.
IEEE Access. Piscataway: IEEE - Institute of Electrical and Electronics Engineers, 2023,
11(září 2023), s. 104789-104805. ISSN 2169-3536.
[Detail] FARKHODOV, K., S. LEE, Jan PLATOŠ a K. KWON. Deep Reinforcement Learning Tf-agent-based Object Tracking with Virtual Autonomous Drone in a Game Engine.
IEEE Access. Piscataway: IEEE - Institute of Electrical and Electronics Engineers, 2023,
11(2023), s. 124129-124138. ISSN 2169-3536.
[Detail] TRAN, Trung Tin, Václav SNÁŠEL a Loc Tan NGUYEN. Combining Social Relations and Interaction Data in Recommender System With Graph Convolution Collaborative Filtering.
IEEE Access. Piscataway: IEEE - Institute of Electrical and Electronics Engineers, 2023,
11(prosinec 2023), s. 139759-139770. ISSN 2169-3536.
[Detail] BASU, Arkaprabha, Sandip PAUL, Sreeya GHOSH, Swagatam DAS, Bhabatosh CHANDA, Chakravarthy BHAGVATI a Václav SNÁŠEL. Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey.
IEEE Access. Piscataway: IEEE - Institute of Electrical and Electronics Engineers, 2023,
11(květen 2023), s. 53939-53977. ISSN 2169-3536.
[Detail] KLEIN, Lukáš, Petr ZMIJ a Pavel KRÖMER. Partial Discharge Detection by Edge Computing.
IEEE Access. Vienna: IEEE, 2023,
11(20 April 2023), s. 44192-44204. ISSN 2169-3536.
[Detail] NGUYEN, Quoc-Dung, Nguyet-Minh PHAN, Pavel KRÖMER a Duc-Anh LE. An Efficient Unsupervised Approach for OCR Error Correction of Vietnamese OCR Text.
IEEE Access. Vienna: IEEE, 2023,
11(06 June 2023), s. 58406-58421. ISSN 2169-3536.
[Detail] LE, V.-V., P. PHAM, Václav SNÁŠEL, U. YUN a B. VO. Enhancing Anchor Link Prediction in Information Networks through Integrated Embedding Techniques.
Information sciences. San Diego: Elsevier, 2023,
645(říjen 2023), s. nestránkováno. ISSN 0020-0255.
[Detail] KONG, Lingping, Varun OJHA, Ruobin GAO, Ponnuthurai Nagaratnam SUGANTHAN a Václav SNÁŠEL. Low-rank and global-representation-key-based attention for graph transformer.
Information sciences. San Diego: Elsevier, 2023,
642(září 2023), s. nestránkováno. ISSN 0020-0255.
[Detail] PHIEN, Nguyen Ngoc a Jan PLATOŠ. The PSR-Transformer Nexus: A Deep Dive into Stock Time Series Forecasting.
International journal of advanced computer science and applications. New York: The Science and Information (SAI) Organization, 2023,
14(12), s. 917-924. ISSN 2158-107X.
[Detail] ZELINKA, Ivan a Roman SENKERIK. Chaotic attractors of discrete dynamical systems used in the core of evolutionary algorithms: state of art and perspectives.
Journal of Difference Equations and Applications. Oslo: Taylor & Francis, 2023,
29(9-12), s. nestránkováno. ISSN 1023-6198.
[Detail] WANG, Xiaopeng, Shu-Chuan CHU, Václav SNÁŠEL, Hisham A SHEHADEH a Jeng-Shyang PAN. Five Phases Algorithm: A Novel Meta-heuristic Algorithm and Its Application on Economic Load Dispatch Problem.
Journal of Internet Technology. Yilan: National Ilan University, 2023,
24(4), s. 837-848. ISSN 1607-9264.
[Detail] SONG, D., J. YAN, H. ZENG, X. DENG, J. YANG, X. QU, Rizk Masoud Rizkallah ABD, Václav SNÁŠEL a Y.H. JOO. Topological Optimization of an Offshore-Wind-Farm Power Collection System Based on a Hybrid Optimization Methodology.
Journal of Marine Science and Engineering. Basilej: MDPI Open Access Publishing, 2023,
11(2), s. nestránkováno. ISSN 2077-1312.
[Detail] SUNG, T.-W., Z. HUANG, Q. LIANG, T. LIN a Lingping KONG. Research on Home Energy Consumption Optimization Based on User Habit Analysis.
Journal of Network Intelligence. Kao-siung: Taiwan Ubiquitous Information, 2023,
8(3), s. 839-855. ISSN 2414-8105.
[Detail] JESPERSEN, Bjorn Thoring Flagstad. Is act theory a propositional logic without logic?.
Journal of Philosophy. The Journal of Philosophy, 2023,
120(9), s. 484-510. ISSN 0022-362X.
[Detail] ZJAVKA, Ladislav. Power quality 24-hour prediction using differential, deep and statistics machine learning based on weather data in an off-grid.
Journal of the Franklin Institute - Engineering and Applied Mathematics. Oxford: Pergamon - Elsevier Science, Ltd., 2023,
360(17), s. 13712-13736. ISSN 0016-0032.
[Detail] ČÍHALOVÁ, Martina a Marie DUŽÍ. Modelling dynamic behaviour of agents in a multi-agent system; Logical analysis of Wh-questions and answers.
Logic journal of IGPL. Oxford University Press, 2023,
31(1), s. 140-171. ISSN 1367-0751.
[Detail] JANČAR, Petr, Petr OSIČKA a Zdeněk SAWA. Countdown games, and simulation on (succinct) one-counter nets.
Logical Methods in Computer Science. Technischen Universitat Braunschweig, 2023,
19(1), s. 11:1-11:44. ISSN 1860-5974.
[Detail] DEY, Alokananda, Siddhartha BHATTACHARYYA, Sandip DEY, Debanjan KONAR, Jan PLATOŠ, Václav SNÁŠEL, Leo MRSIC a Pankaj PAL. A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering.
Mathematics. BASEL: MDPI Open Access Publishing, 2023,
11(9), s. nestránkováno. ISSN 2227-7390.
[Detail] ABD, Rizk Masoud Rizkallah, H. ABDULKADER, S.S.A. ELATIF, D. OLIVA, G. SOSA-GÓMEZ a Václav SNÁŠEL. On the Cryptanalysis of a Simplified AES Using a Hybrid Binary Grey Wolf Optimization.
Mathematics. Basilej: MDPI Open Access Publishing, 2023,
11(18), s. nestránkováno. ISSN 2227-7390.
[Detail] KIM TRAN, Toai, R. SENKERIK, V.T.X. HANH, V.M. HUAN, A. ULRICH, M. MUSIL a Ivan ZELINKA. Initial Coin Offering Prediction Comparison Using Ridge Regression, Artificial Neural Network, Random Forest Regression, and Hybrid ANN-Ridge.
Mendel. Wroclaw: Brno University of Technology, 2023,
29(2), s. 283-294. ISBN 978-80-214-4120-0.
[Detail] KIM TRAN, Toai, Roman ŠENKEŘÍK, V.T.X. HANH, V.M. HUAN, A. ULRICH, M. MUSIL a Ivan ZELINKA. Exploring Hybrid Models For Short-Term Local Weather Forecasting in IoT Environment.
Mendel. Wroclaw: Brno University of Technology, 2023,
29(2), s. 295-306. ISBN 978-80-214-4120-0.
[Detail] KUNDRÁT, J., K REČKA, K. PAULÍK, F BAUMGARTNER, M. MALŮŠ, Lenka SKANDEROVÁ, Tomáš FABIÁN, Jan PLATOŠ, Martina LITSCHMANNOVÁ, Adéla KONDÉ a Tereza BENEŠOVÁ. Assessing Attitudes Indirectly Through Conceptual Metaphors of Size and Distance in an Interactive Software.
Metaphor and Symbol. London: Routledge, 2023,
38(4), s. 329-345. ISSN 1092-6488.
[Detail] SNÁŠEL, Václav, Rizk Masoud Rizkallah ABD a Aboul Ella HASSANIEN. Guided golden jackal optimization using elite-opposition strategy for efficient design of multi-objective engineering problems.
Neural Computing and Applications. Vídeň: Springer, 2023,
35(34), s. nestránkováno. ISSN 0941-0643.
[Detail] OMAR, Hala A, Václav SNÁŠEL a Rizk Masoud Rizkallah ABD. A hybrid reptile search algorithm and Levenberg-Marquardt algorithm based Haar wavelets to solve regular and singular boundary value problems.
OPSEARCH. Vídeň: Springer, 2023,
60(4), s. nestránkováno. ISSN 0030-3887.
[Detail] JESPERSEN, Bjorn Thoring Flagstad a Massimiliano CARRARA. Impossible Events and the Knowability Paradox.
Organon F. Bratislava: Filozofický ústav SAV, 2023,
30(1), s. 53-65. ISSN 1335-0668.
[Detail] DUŽÍ, Marie. Specification of Agents’ Activities in Past, Present and Future.
Organon F. Filozofický ústav SAV, 2023,
30(1), s. 66-101. ISSN 1335-0668.
[Detail] MANUKYAN, Gayane, Jiří GALLO, Zuzana MIKULKOVÁ, Markéta TRAJEROVÁ, Jakub SAVARA, Zuzana SLOBODOVÁ, Erik FIDLER, Bishu SHRESTHA a Eva KRIEGOVÁ. Phenotypic and functional characterisation of synovial fluid-derived neutrophils in knee osteoarthritis and knee infection.
Osteoarthritis and Cartilage. Elsevier, 2023,
31(1), s. 72-82. ISSN 1063-4584.
[Detail] ASKR, Heba, M. A FARAG, Aboul Ella HASSANIEN, Václav SNÁŠEL a Tamer Ahmed FARRAG. Many-objective African vulture optimization algorithm: A novel approach for many-objective problems.
PLoS One. San Francisco: Public Library of Science, 2023,
18(5), s. nestránkováno. ISSN 1932-6203.
[Detail] DUTTA, Tulika, Siddhartha BHATTACHARYYA, Bijaya Ketan PANIGRAHI, Ivan ZELINKA a Leo MRSIC. Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images.
Quantum Machine Intelligence. Londýn: Springer Nature, 2023,
5(1), s. nestránkováno. ISSN 2524-4906.
[Detail] SUN, Yujia a Jan PLATOŠ. A method for constructing word sense embeddings based on word sense induction.
Scientific Reports. New York: Nature Publishing Group, 2023,
13(1), s. nestránkováno. ISSN 2045-2322.
[Detail] KLEIN, Lukáš, Jan FULNEČEK, David SEIDL, Lukáš PROKOP, Stanislav MIŠÁK, Jiří DVORSKÝ a Marian PIECHA. A Data Set of Signals from an Antenna for Detection of Partial Discharges in Overhead Insulated Power Line.
Scientific data. BERLIN: Nature Publishing Group, 2023,
10(1), s. August 2023. ISSN 2052-4463.
[Detail] KABOT, Ondřej, Lukáš KLEIN, Lukáš PROKOP a Wojciech WALENDZIUK. Enhanced Fault Type Detection in Covered Conductors Using a Stacked Ensemble and Novel Algorithm Combination.
Sensors. MDPI Open Access Publishing, 2023,
20(23), s. nestrankovano. ISSN 1424-8220.
[Detail] BULKOVÁ, Z., J. ČAMAJ, A. ŠPERKA a Simona JURSOVÁ. Simulation of travel document purchase measures aimed at preventing the spread of COVID-19 – Case study from Slovakia.
Transportation Research Interdisciplinary Perspectives. San Diego: Elsevier, 2023,
20(July 2023), s. nestránkováno. ISSN 2590-1982.
[Detail] VERMA, Nidhi Vijay, Malvika SHUKLA, Rutuparna KULKARNI, Kriti SRIVASTAVA, Benoit CLAUDIC, Jakub SAVARA, Mano Joseph MATHEW, Rupesh MAURYA, Gargi BHATTACHARJEE, Vijai SINGH a Alok PANDYA. Emerging Extraction and Diagnostic Tools for Detection of Plant Pathogens: Recent Trends, Challenges, and Future Scope.
ACS Agricultural Science and Technology. WASHINGTON: American Chemical Society, 2022,
2(5), s. 858-881. ISSN 2692-1952.
[Detail] TRAN, Tram B. T, My-Phuong Ngo MP, Quang-Thinh Bui QT, Václav SNÁŠEL a Bay VO. A new approach for operations on neutrosophic soft sets based on the novel norms for constructing topological structures.
AIMS Mathematics. SPRINGFIELD: American Institute of Mathematical Sciences, 2022,
7(6), s. 9603-9626. ISSN 2473-6988.
[Detail] TORKY, Mohamed, Tarek GABER, Essam GODA, Václav SNÁŠEL a Aboul Ella HASSANIEN. A Blockchain Protocol for Authenticating Space Communications between Satellites Constellations.
Aerospace. BASEL: MDPI Open Access Publishing, 2022,
9(9), s. nestránkováno. ISSN 2226-4310.
[Detail] SAMADI, Gharajeh M. a Hossein BARGHI JOND. An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system.
Ain Shams Engineering Journal. San Diego: Elsevier, 2022,
13(1), s. nestránkováno. ISSN 2090-4479.
[Detail] NGUYEN, Lam B. Q, Loan T. T NGUYEN, Bay VO, Ivan ZELINKA, Jerry Chun-Wei LIN, Unil YUN a Hung Son NGUYEN. An efficient and scalable approach for mining subgraphs in a single large graph.
Applied Intelligence. Vídeň: Springer, 2022,
52(15), s. nestránkováno. ISSN 0924-669X.
[Detail] DEY, Alokananda, Siddhartha BHATTACHARYYA, Sandip DEY, Jan PLATOŠ a Václav SNÁŠEL. Automatic clustering of colour images using quantum inspired meta-heuristic algorithms.
Applied Intelligence. Vídeň: Springer, 2022,
2022(May), s. nestránkováno. ISSN 0924-669X.
[Detail] DIEP, Quoc Bao, Thanh Cong TRUONG, Swagatam DAS a Ivan ZELINKA. Self-Organizing Migrating Algorithm with narrowing search space strategy for robot path planning.
Applied Soft Computing. San Diego: Elsevier, 2022,
116(2), s. nestránkováno. ISSN 1568-4946.
[Detail] PANWAR, Ankita, Maryam OLFATI, Millie PANT a Václav SNÁŠEL. A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends.
Archives of Computational Methods in Engineering. Vídeň: Springer, 2022,
2022(29), s. 5397-5426. ISSN 1134-3060.
[Detail] SKANDEROVÁ, Lenka. Self-organizing migrating algorithm: review, improvements and comparison.
Artificial Intelligence Review. Vídeň: Springer, 2022, s. nestránkováno. ISSN 0269-2821.
[Detail] PAN, Jeng-Shyang, Pei HU, Václav SNÁŠEL a Shu-Chuan CHU. A survey on binary metaheuristic algorithms and their engineering applications.
Artificial Intelligence Review. Vídeň: Springer, 2022,
2022(Nov), s. nestránkováno. ISSN 0269-2821.
[Detail] PETRÁČKOVÁ, Anna, Jakub SAVARA, Peter TURCSANYI, Petr GAJDOŠ, Tomáš PAPAJÍK a Eva KRIEGOVÁ. Rare germline ATM variants of uncertain significance in chronic lymphocytic leukaemia and other cancers.
British Journal of Haematology. Čeng-čou: Wiley, 2022,
199(3), s. 371-381. ISSN 0007-1048.
[Detail] ABOUEL-MAGD, Lobna M, Ashraf DARWISH, Václav SNÁŠEL a Aboul Ella HASSANIEN. A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis.
Cluster Computing-The Journal of Networks Software Tools and Applications. Vídeň: Springer, 2022, s. nestránkováno. ISSN 1386-7857.
[Detail] SINGH, Meenu, Millie PANT, Saumya DIWAN a Václav SNÁŠEL. Genetic Algorithm-enhanced Rank aggregation model to measure the performance of Pulp and Paper Industries.
Computers and Industrial Engineering. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2022,
172(říjen 2022), s. nestránkováno. ISSN 0360-8352.
[Detail] TORKY, Mohamed, Mohamed EL-DOSUKY, Essam GODA, Václav SNÁŠEL a Aboul Ella HASSANIEN. Scheduling and Securing Drone Charging System Using Particle Swarm Optimization and Blockchain Technology.
Drones. BASEL: MDPI Open Access Publishing, 2022,
6(9), s. nestránkováno. ISSN 2504-446X.
[Detail] WANG, Xing, Jeng-Shyang PAN, Qingyong YANG, Lingping KONG, Václav SNÁŠEL a Shu-Chuan CHU. Modified Mayfly Algorithm for UAV Path Planning.
Drones. BASEL: MDPI Open Access Publishing, 2022,
6(5), s. nestránkováno. ISSN 2504-446X.
[Detail] JAHAN, Ibrahim Salem, Vojtěch BLAŽEK, Stanislav MIŠÁK, Václav SNÁŠEL a Lukáš PROKOP. Forecasting of Power Quality Parameters Based on Meteorological Data in Small-Scale Household Off-Grid Systems.
Energies. BASEL: MDPI Open Access Publishing, 2022,
15(14), s. nestránkováno. ISSN 1996-1073.
[Detail] RIZK-ALLAH, Rizk M, Aboul Ella HASSANIEN a Václav SNÁŠEL. A hybrid chameleon swarm algorithm with superiority of feasible solutions for optimal combined heat and power economic dispatch problem.
Energy. San Diego: Elsevier, 2022,
254(září 2022), s. nestránkováno. ISSN 0360-5442.
[Detail] PAN, Jeng-Shyang, Ai-Qing TIAN, Václav SNÁŠEL, Lingping KONG a Shu-Chuan CHU. Maximum power point tracking and parameter estimation for multiple-photovoltaic arrays based on enhanced pigeon-inspired optimization with Taguchi method.
Energy. San Diego: Elsevier, 2022,
251(červenec 2022), s. nestránkováno. ISSN 0360-5442.
[Detail] ZJAVKA, Ladislav. Photovoltaic Power intra- and day-ahead Predictions with Differential Learning producing PDE-modular Models based on the Node L-transform Derivatives.
Environmental Progress and Sustainable Energy. Wiley-Blackwell, 2022,
42(2), s. 1-14. ISSN 1944-7442.
[Detail] SEIDL, David, Ivan RUZIAK, Zora Kostialova JANCIKOVA a Pavel KOSTIAL. Sensitivity analysis: A tool for tailoring environmentally friendly materials.
Expert Systems with Applications. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2022,
208(1 December 2022, 118039), s. nestránkováno. ISSN 0957-4174.
[Detail] UHER, Vojtěch, Pavla DRÁŽDILOVÁ, Jan PLATOŠ a Petr BADURA. Automation of cleaning and ensembles for outliers detection in questionnaire data.
Expert Systems with Applications. PERGAMON-ELSEVIER SCIENCE LTD, 2022,
206(15 November), s. 117809. ISSN 0957-4174.
[Detail] VERMA, Shanu, Vivekanand PANDEY, Millie PANT a Václav SNÁŠEL. A Balanced Squad for Indian Premier League Using Modified NSGA-II.
IEEE Access. Vienna: IEEE, 2022,
10(září 2022), s. 100463-100477. ISSN 2169-3536.
[Detail] KHODADADI, Nima, Laith ABUALIGAH, El-Sayed M EL-KENAWY, Václav SNÁŠEL a Seyedali MIRJALILI. An Archive-Based Multi-Objective Arithmetic Optimization Algorithm for Solving Industrial Engineering Problems.
IEEE Access. Vienna: IEEE, 2022,
10(05 October 2022), s. 106673-106698. ISSN 2169-3536.
[Detail] KHODADADI, Nima, Václav SNÁŠEL a Seyedali MIRJALILI. Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints.
IEEE Access. Vienna: IEEE, 2022,
10(leden 2022), s. 16188-16208. ISSN 2169-3536.
[Detail] KRÖMER, Pavel, Vojtěch UHER a Václav SNÁŠEL. Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems.
IEEE Transactions on Evolutionary Computation. Vienna: IEEE, 2022,
26(1), s. 43-57. ISSN 1089-778X.
[Detail] BARGHI JOND, Hossein a Jan PLATOŠ. Differential Game-Based Optimal Control of Autonomous Vehicle Convoy.
IEEE Transactions on Intelligent Transportation Systems. PISCATAWAY: IEEE, 2022,
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[Detail] BARGHI JOND, Hossein a Aykut YILDIZ. Connected and automated vehicle platoon formation control via differential games.
IET Intelligent Transport Systems. Čeng-čou: Wiley, 2022,
2022(2022), s. nestránkováno. ISSN 1751-956X.
[Detail] OGIELA, Urszula a Václav SNÁŠEL. Predictive intelligence in evaluation of visual perception thresholds for visual pattern recognition and understanding.
Information Processing and Management. San Diego: Elsevier, 2022,
59(2), s. nestránkováno. ISSN 0306-4573.
[Detail] KUMAR, Abhishek, Swagatam DAS a Václav SNÁŠEL. Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints.
Information sciences. San Diego: Elsevier, 2022,
615(listopad 2022), s. 604-637. ISSN 0020-0255.
[Detail] ZELINKA, Ivan, Quoc Bao DIEP, Václav SNÁŠEL, S. DAS, G. INNOCENTI, A. TESI, F. SCHOEN a N.V. KUZNETSOV. Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis.
Information sciences. San Diego: Elsevier, 2022,
587(1), s. 692 - 719. ISSN 0020-0255.
[Detail] RIZK-ALLAH, Rizk M, Mohamed, I ZINELDIN, Abd Allah A MOUSA, S ABDEL-KHALEK, Mohamed S MOHAMED a Václav SNÁŠEL. On a Novel Hybrid Manta Ray Foraging Optimizer and Its Application on Parameters Estimation of Lithium-Ion Battery.
International Journal of Computational Intelligence Systems. Paříž: Atlantis Press, 2022,
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[Detail] TRUONG, Thanh Cong, Jan PLUCAR, Quoc Bao DIEP a Ivan ZELINKA. X-ware: a proof of concept malware utilizing artificial intelligence.
International Journal of Electrical and Computer Engineering. Sewon: Institute of Advanced Engineering and Science, 2022,
12(2), s. 1937-1944. ISSN 2088-8708.
[Detail] BUI, Quang-Thinh, My-Phuong NGO, Václav SNÁŠEL, Witold PEDRYCZ a Bay VO. The Sequence of Neutrosophic Soft Sets and a Decision-Making Problem in Medical Diagnosis.
International Journal of Fuzzy Systems. Heidelberg: Springer Heidelberg, 2022,
24(4), s. nestránkováno. ISSN 1562-2479.
[Detail] MARTINEZ, Genaro J, Andrew ADAMATZKY, Ricardo Q FIGUEROA, Eric SCHWEIKARDT, Dmitry A ZAITSEV, Ivan ZELINKA a Luz N OLIVA-MORENO. Computing with Modular Robots.
International Journal of Unconventional Computing. Philadelphia: Old City Publishing, 2022,
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[Detail] VALA, Roman, Marie VALOVÁ, Martina LITSCHMANNOVÁ a Pavla DRÁŽDILOVÁ. Analysis of the load intensity of female handball players during a match.
Journal of Physical Education and Sport. Pitești: University of Pitești, 2022,
22(4), s. 1079-1085. ISSN 2247-8051.
[Detail] VALA, Roman, Marie VALOVÁ, Pavla DRÁŽDILOVÁ a Martina LITSCHMANNOVÁ. The physical education performance evolution of university students in athletics.
Journal of Physical Education and Sport. Pitești: University of Pitești, 2022,
22(4), s. 1086-1093. ISSN 2247-8051.
[Detail] JESPERSEN, Bjorn Thoring Flagstad a Marie DUŽÍ. Transparent quantification into hyperpropositional attitudes de dicto.
Linguistics and Philosophy. Springer Nature, 2022,
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Machine Vision and Applications. NEW YORK: Springer, 2022,
33(5), s. nestránkováno. ISSN 0932-8092.
[Detail] ANWAR, Muhammad, Aboul Ella HASSANIEN, Václav SNÁŠEL a Sameh H BASHA. Subgraph Query Matching in Multi-Graphs Based on Node Embedding.
Mathematics. BASEL: MDPI Open Access Publishing, 2022,
10(24), s. nestránkováno. ISSN 2227-7390.
[Detail] NGUYEN, Thi Bich Ngan, Pham Nhat PHUONG, Van Vang LE a Václav SNÁŠEL. Influence Maximization under Fairness Budget Distribution in Online Social Networks.
Mathematics. BASEL: MDPI Open Access Publishing, 2022,
10(22), s. nestránkováno. ISSN 2227-7390.
[Detail] LE, Van-Vang, Toai Kim TRAN, Bich-Ngan T NGUYEN, Quoc-Dung NGUYEN a Václav SNÁŠEL. Network Alignment across Social Networks Using Multiple Embedding Techniques.
Mathematics. BASEL: MDPI Open Access Publishing, 2022,
10(21), s. nestránkováno. ISSN 2227-7390.
[Detail] PHAM, Phuong N. H, Bich-Ngan T NGUYEN, Quy T. N CO a Václav SNÁŠEL. Multiple Benefit Thresholds Problem in Online Social Networks: An Algorithmic Approach.
Mathematics. BASEL: MDPI Open Access Publishing, 2022,
10(6), s. nestránkováno. ISSN 2227-7390.
[Detail] NGUYEN, Bich-Ngan T, Phuong N. H PHAM, Van-Vang LE a Václav SNÁŠEL. Efficient Streaming Algorithms for Maximizing Monotone DR-Submodular Function on the Integer Lattice.
Mathematics. BASEL: MDPI Open Access Publishing, 2022,
10(20), s. nestránkováno. ISSN 2227-7390.
[Detail] PAN, Jeng-Shyang, Li-Gang ZHANG, Ruo-Bin WANG, Václav SNÁŠEL a Shu-Chuan CHU. Gannet optimization algorithm : A new metaheuristic algorithm for solving engineering optimization problems.
Mathematics and computers in simulation. New York: Elsevier Science, 2022,
202(prosinec 2022), s. 343-373. ISSN 0378-4754.
[Detail] GANAIE, M. A, M TANVEER, P. N SUGANTHAN a Václav SNÁŠEL. Oblique and rotation double random forest.
Neural Networks. San Diego: Elsevier, 2022,
153(září 2022), s. 496-517. ISSN 0893-6080.
[Detail] TRAJEROVA, Markéta, Eva KRIEGOVA, Zuzana MIKULKOVA, Jakub SAVARA, Miloš KUDĚLKA a Jiří GALLO. Knee osteoarthritis phenotypes based on synovial fluid immune cells correlate with clinical outcome trajectories.
Osteoarthritis and Cartilage. San Diego: Elsevier, 2022,
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Scientific Reports. Nature Publishing Group, 2022,
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Scientific Reports. New York: Nature Publishing Group, 2022,
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[Detail] GALLO, Jiří, Eva KRIEGOVA, Martin RADVANSKÝ, Matúš SLOVIAK a Miloš KUDĚLKA. Odds-ratio network for postoperative factors revealing differences in the 2-year longitudinal pattern of satisfaction between women and men after total knee arthroplasty.
Scientific Reports. New York: Nature Publishing Group, 2022,
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[Detail] POKORNÝ, Miroslav, Jana NOWAKOVÁ a Tomáš DOČEKAL. Adaptive Ascent Control of a Collaborative Object Transportation System Using Two Quadrotors.
Sensors. BASEL: MDPI Open Access Publishing, 2022,
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Swarm and Evolutionary Computation. San Diego: Elsevier, 2022,
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[Detail] PAN, Jeng-Shyang, Xiao-Xue SUN, Hongmei YANG, Václav SNÁŠEL a Shu-Chuan CHU. Information Hiding Based on Two-Level Mechanism and Look-Up Table Approach.
Symmetry. BASEL: MDPI Open Access Publishing, 2022,
14(2), s. nestránkováno. ISSN 2073-8994.
[Detail] PANDEY, Vivekanand, Millie PANT a Václav SNÁŠEL. Blockchain technology in food supply chains: Review and bibliometric analysis.
Technology in Society. San Diego: Elsevier, 2022,
69(květen 2022), s. nestránkováno. ISSN 0160-791X.
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Telecommunication Systems. Vídeň: Springer, 2022,
80(1), s. 105-121. ISSN 1018-4864.
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Viruses-Basel. Basilej: MDPI Open Access Publishing, 2022,
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[Detail] NGUYEN, Lam Ba Quang, Ivan ZELINKA, Václav SNÁŠEL, Loan T. T NGUYEN a Bay VO. Subgraph mining in a large graph: A review.
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. San Francisco: John Wiley & Sons, 2022,
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Applied Intelligence. Vídeň: Springer, 2021,
51(12), s. nestránkováno. ISSN 0924-669X.
[Detail] HUYNH, T., H.D. NGUYEN, Ivan ZELINKA, K.V. NGUYEN, V.T. PHAM a S.N. HOANG. Advo: A system to manage influencer marketing campaigns on social networks.
Applied Sciences. Basilej: MDPI Open Access Publishing, 2021,
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[Detail] BARNOVÁ, Kateřina, Radek MARTINEK, René JAROŠ, Radana KAHÁNKOVÁ, Khosrow BEHBEHANI a Václav SNÁŠEL. System for adaptive extraction of non-invasive fetal electrocardiogram.
Applied Soft Computing. San Diego: Elsevier, 2021,
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[Detail] WANG, Xiaopeng, Shu-Chuan CHU, Václav SNÁŠEL, Lingping KONG, Jeng-Shyang PAN a Hisham A SHEHADEH. A two-phase quasi-affine transformation evolution with feedback for parameter identification of photovoltaic models.
Applied Soft Computing. San Diego: Elsevier, 2021,
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Bioinformatics. Oxford: Oxford University Press, 2021,
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Bioinformatics. Oxford University Press, 2021,
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[Detail] ELGHAMRAWY, Sally M, Aboul Ella HASSNIEN a Václav SNÁŠEL. Optimized Deep Learning-Inspired Model for the Diagnosis and Prediction of COVID-19.
CMC-Computers Materials & Continua. Henderson: Tech Science Press, 2021,
67(2), s. 2353-2371. ISSN 1546-2218.
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CMC-Computers Materials & Continua. Henderson: Tech Science Press, 2021,
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Cancers. BASEL: MDPI Open Access Publishing, 2021,
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[Detail] VALA, Roman, Marie VALOVÁ, Pavla DRÁŽDILOVÁ, Pavel KRÖMER a Jan PLATOŠ. Behaviour associated with the presence of a school sports ground: Visual information for policy makers.
Children and Youth Services Review. Pergamon - Elsevier Science, Ltd., 2021,
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[Detail] HASAL, Martin, Jana NOWAKOVÁ, Khalifa A. S. SAGHAIR, Hussam ABDULLA, Václav SNÁŠEL a Lidia OGIELA. Chatbots: Security, privacy, data protection, and social aspects.
Concurrency Computation Practice and Experience. Hoboken: Wiley, 2021,
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Concurrency Computation Practice and Experience. New York: Wiley, 2021,
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Concurrency Computation Practice and Experience. New York: Wiley, 2021,
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Electrical Engineering. Vídeň: Springer, 2021,
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Energy. San Diego: Elsevier, 2021,
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Engineering Applications of Artificial Intelligence. Oxford: Pergamon - Elsevier Science, Ltd., 2021,
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Frontiers in Artificial Intelligence and Applications. Volume 343. IOS Press, 2021,
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Frontiers in Artificial Intelligence and Applications. Volume 343. IOS Press, 2021,
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IEEE Access. Vienna: IEEE, 2021,
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IEEE Access. Vienna: IEEE, 2021,
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IEEE Access. Vienna: IEEE, 2021,
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IEEE Access. Vienna: IEEE, 2021,
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IEEE Access. Vienna: IEEE, 2021,
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IEEE Transactions on Cybernetics. Vienna: IEEE, 2021,
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IEEE Transactions on Fuzzy Systems. Vienna: IEEE, 2021,
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IEEE Transactions on Knowledge and Data Engineering. Washington, D. C.: IEEE Computer Society, 2021,
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Informatics. BASEL: MDPI Open Access Publishing, 2021,
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Intelligent Service Robotics. Vídeň: Springer, 2021,
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International Journal of Energy Research. Wiley, 2021,
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International Journal of Intelligent Systems. Malden: Wiley-Blackwell, 2021,
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Journal of Translational Medicine. LONDON: BioMed Central, 2021,
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Journal of Universal Computer Science. Štýrský Hradec: TU Graz, 2021,
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Journal of Universal Computer Science. Štýrský Hradec: TU Graz, 2021,
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Journal of applied logics - IfCoLog journal of logics and their applications. Londýn: College Publications, 2021,
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Journal of applied logics - IfCoLog journal of logics and their applications. College Publications, 2021,
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Mathematics. BASEL: MDPI Open Access Publishing, 2021,
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Mendel. Wroclaw: Brno University of Technology, 2021,
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Pattern Analysis and Applications. Vídeň: Springer, 2021,
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Processes. Basilej: MDPI Open Access Publishing, 2021,
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Scientific Reports. New York: Nature Publishing Group, 2021,
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Acta Chirurgiae Orthopaedicae et Traumatologiae Cechoslovaca. Praha: GALEN SRO, 2018,
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[Detail] VANTUCH, Tomáš, Jan FULNEČEK, Michael HOLUŠA, Stanislav MIŠÁK a Jan VACULÍK. An Examination of Thermal Features' Relevance in the Task of Battery-Fault Detection.
Applied Sciences. MDPI Open Access Publishing, 2018,
8(2), s. 1-16. ISSN 2076-3417.
[Detail] KROUPOVÁ, Ivana, Petr LICHÝ, Lačezar LIČEV, Jakub HENDRYCH a K. SOUCEK. EVALUATION OF PROPERTIES OF CAST METAL FOAMS WITH IRREGULAR INNER STRUCTURE.
Archives of Metallurgy and Materials. Zabrze: Polish Academy of Sciences, 2018,
63(4), s. 1847-1851. ISSN 1733-3490.
[Detail] KNYBEL, Lukáš, Marek PENHAKER, Antonino PROTO, Bretislav OTAHAL, Jana NOWAKOVÁ, Jakub CVEK, Blanka FILIPOVÁ a Ali SELAMAT. Accuracy analysis of the dose delivery process while using the Xsight (R) Spine Tracking technology.
Biomedical Physics and Engineering Express. New York: American Institute of Physics, 2018,
4(6), s. nestránkováno. ISSN 2057-1976.
[Detail] KRÖMER, Pavel, Jan PLATOŠ, Jana NOWAKOVÁ a Václav SNÁŠEL. An acceleration of quasigroup operations by residue arithmetic.
Concurrency Computation Practice and Experience. Wiley, 2018,
30(2), s. 1-14. ISSN 1532-0626.
[Detail] STAROSTKA, David, Eva KRIEGOVA, Miloš KUDĚLKA, Peter MIKULA, Šárka ZEHNALOVÁ, Martin RADVANSKÝ, Tomas PAPAJIK, David KOLACEK, Katerina CHASAKOVA a Hana TALIANOVA. Quantitative assessment of informative immunophenotypic markers increases the diagnostic value of immunophenotyping in mature CD5-positive B-cell neoplasms.
Cytometry Part B - Clinical Cytometry. New York: Wiley, 2018,
94(4), s. 576-587. ISSN 1552-4949.
[Detail] HUYN, Bao, Cuong TRINH, Huy HUYNH, Thien-Trang VAN, Bay VO a Václav SNÁŠEL. An efficient approach for mining sequential patterns using multiple threads on very large databases.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. PERGAMON-ELSEVIER SCIENCE LTD, 2018,
74(September), s. 242-251. ISSN 0952-1976.
[Detail] PROKOP, Lukáš, Tomáš VANTUCH a Stanislav MIŠÁK. Multi objective optimization in charge management of micro grid based multistory carpark.
Energies. MDPI Open Access Publishing, 2018,
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[Detail] HOLÝ, Branislav. Registration of lines in 2D LIDAR scans via functions of angles.
Engineering Applications of Artificial Intelligence. Oxford: Elsevier Ltd, 2018,
67(January 2018), s. 436-442. ISSN 0952-1976.
[Detail] KOJECKÝ, Lumír, Ivan ZELINKA, Awadhesh PRASAD, Tomáš VANTUCH a Lukáš TOMASZEK. Investigation on Unconventional Synthesis of Astroinformatic Data Classifier Powered by Irregular Dynamics.
IEEE Intelligent Systems. Washington, D. C.: IEEE Computer Society, 2018,
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[Detail] OJHA, Varun Kumar, Václav SNÁŠEL a A. ABRAHAM. Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees.
IEEE Transactions on Fuzzy Systems. Vienna: IEEE, 2018,
26(2), s. 915-936. ISSN 1063-6706.
[Detail] KRÁTKÝ, Michal, Stanislav MIŠÁK, Petr GAJDOŠ, Petr LUKÁŠ, Radim BAČA a Peter CHOVANEC. A Novel Method for Detection of Covered Conductor Faults in Medium Voltage Overhead Line Systems.
IEEE Transactions on Industrial Electronics. Vienna: IEEE, 2018,
65(1), s. 543-552. ISSN 0278-0046.
[Detail] VANTUCH, Tomáš, Ivan ZELINKA a Pandian VASANT. An algorithm for Elliott Waves pattern detection.
Intelligent Decision Technologies. Amsterdam: IOS Press, 2018,
12(1), s. 15-24. ISSN 1872-4981.
[Detail] SKANDEROVÁ, Lenka, Tomáš FABIÁN a Ivan ZELINKA. Differential evolution based on node strength.
International Journal of Bio-Inspired Computation. Inderscience Publishers, 2018,
11(1), s. 34-45. ISSN 1758-0366.
[Detail] LAMPART, Marek, Tomáš VANTUCH, Ivan ZELINKA a Stanislav MIŠÁK. Dynamical properties of partial-discharge patterns.
International Journal of Parallel, Emergent and Distributed Systems. Taylor & Francis, 2018,
33(5), s. 1-16. ISSN 1744-5760.
[Detail] SMAGLICHENKO, Tatyana A., Alexander, V SMAGLICHENKO, Ivan ZELINKA a Boris CHIGAREV. Seismic attractor can assist in finding of geothermal area?.
International Journal of Parallel, Emergent and Distributed Systems. Philadelphia: Taylor & Francis, 2018,
33(5), s. 503-512. ISSN 1744-5760.
[Detail] KROCZEK, Lukáš a Ivan ZELINKA. Investigation on Cellular Automaton Rule Estimation. Journal of Cellular Automata.
Journal of Cellular Automata. Old City Publishing, 2018,
13(4), s. 307-323. ISSN 1557-5969.
[Detail] BUI, Toan, Tram NGUYEN, Bae VO, Thanh NGUYEN, Witold PEDRYCZ a Václav SNÁŠEL. Application of Particle Swarm Optimization to Create Multiple-Choice Tests.
Journal of Information Science and Engineering. Tchaj-pej: Academia Sinica, 2018,
34(6), s. 1405-1423. ISSN 1016-2364.
[Detail] PAN, Jeng-Shyang, Lingping KONG, Tien-Wen SUNG, Pei-Wei TSAI a Václav SNÁŠEL. A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set.
Journal of Internet Technology. Yilan: National Ilan University, 2018,
19(4), s. 1111-1118. ISSN 1607-9264.
[Detail] PAN, J.-S., Lingping KONG, T.-W. SUNG, P.-W. TSAI a Václav SNÁŠEL. α-fraction first strategy for hierarchical model in wireless sensor networks.
Journal of Internet Technology. Yilan: National Ilan University, 2018,
19(6), s. 1717-1726. ISSN 1607-9264.
[Detail] MANUKYAN, Gayane, Peter TURCSANYI, Zuzana MIKULKOVA, Gabriela GABCOVA, Renata URBANOVA, Petr GAJDOŠ, Veronika Smotkova KRAICZOVA, Sarka ZEHNALOVA, Tomas PAPAJIK a Eva KRIEGOVA. Dynamic changes in HLA-DR expression during short-term and long-term ibrutinib treatment in patients with chronic lymphocytic leukemia.
Leukemia Research. PERGAMON-ELSEVIER SCIENCE LTD, 2018,
72(September 2018), s. 113-119. ISSN 0145-2126.
[Detail] FOREJT, Vojtěch, Petr JANČAR, Stefan KIEFER a James WORRELL. Game Characterization of Probabilistic Bisimilarity, and Applications to Pushdown Automata.
Logical Methods in Computer Science. Technischen Universitat Braunschweig, 2018,
14(4:13), s. 1-25. ISSN 1860-5974.
[Detail] NEVRLÝ, Václav, Vít KLEČKA, Michal VAŠINEK, Václav VÁLEK, Jan SUCHÁNEK, Michal DOSTÁL, Branislav HRIC, Petr BITALA a Zdeněk ZELINGER. A New Line-Shape Asymmetry Model for Wavelength Modulation Spectroscopy in Gaseous Flows.
Measurement Science Review. Varšava: De Gruyter, 2018,
18(4), s. 158-161. ISSN 1335-8871.
[Detail] ZAORÁLEK, Lukáš, Jan PLATOŠ a Václav SNÁŠEL. PATIENT-ADAPTED AND INTER-PATIENT ECG CLASSIFICATION USING NEURAL NETWORK AND GRADIENT BOOSTING.
Neural Network World. Praha: Akademie věd České republiky, Ústav informatiky, 2018,
28(3), s. 241-254. ISSN 1210-0552.
[Detail] ISAEV, M.R., V.V. OGANESYAN, D. HUSEK a Václav SNÁŠEL. Modeling Light Propagation through the Tissues of the Head Taking Account of Scattering Anisotropy to Optimize the Positioning of Irradiation Detectors and Sources in a Brain-Computer Interface Based on Near Infrared Spectroscopy.
Neuroscience and Behavioral Physiology. Vídeň2018,
48(9), s. 1158-1163. ISSN 0097-0549.
[Detail] DUŽÍ, Marie a Jakub MACEK. Analysis of time references in natural language by means of Transparent Intensional Logic.
Organon F. Filozofický ústav SAV, 2018,
25(1), s. 21-40. ISSN 1335-0668.
[Detail] KRIEGOVA, E., G. MANUKYAN, Z. MIKULKOVA, G. GABCOVA, Miloš KUDĚLKA, Petr GAJDOŠ a J. GALLO. Gender-related differences observed among immune cells in synovial fluid in knee osteoarthritis.
Osteoarthritis and Cartilage. OXFORD: Elsevier, 2018,
26(9), s. 1247-1256. ISSN 1063-4584.
[Detail] SNÁŠEL, Václav, Pavla DRÁŽDILOVÁ a Jan PLATOŠ. Closed trail distance in a biconnected graph.
PLoS One. Public Library of Science, 2018,
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[Detail] LIČEV, Lačezar, Jakub HENDRYCH, Jan TOMEČEK, Radim ČAJKA a Martin KREJSA. Monitoring of Excessive Deformation of Steel Structure Extra-High Voltage Pylons.
Periodica Polytechnica: Civil Engineering. Budapest University of Technology and Economics, 2018,
62(2), s. 323–329. ISSN 0553-6626.
[Detail] DUŽÍ, Marie. NEGATION AND PRESUPPOSITION, TRUTH AND FALSITY.
Studies in Logic, Grammar and Rhetoric. Wydawnictwo Uniwersytetu w Białymstoku, 2018,
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[Detail] ZELINKA, Ivan, Swagatam DAS, Lubomír SIKORA a Roman SENKERIK. Swarm virus - Next-generation virus and antivirus paradigm?.
Swarm and Evolutionary Computation. SAN DIEGO: Elsevier, 2018,
43(1), s. 207-224. ISSN 2210-6502.
[Detail] ZAWBAA, Hossam M., E. EMARY, Crina GROSAN a Václav SNÁŠEL. Large-dimensionality small-instance set feature selection: A hybrid bio-inspired heuristic approach.
Swarm and Evolutionary Computation. SAN DIEGO: Elsevier, 2018,
42(October), s. 29-42. ISSN 2210-6502.
[Detail] KONG, Lingping, Jeng-Shyang PAN, Václav SNÁŠEL, Pei-Wei TSAI a Tien-Wen SUNG. An energy-aware routing protocol for wireless sensor network based on genetic algorithm.
Telecommunication Systems. Vídeň: Springer, 2018,
67(3), s. 451-463. ISSN 1018-4864.
[Detail] BAČA, Radim, Michal KRÁTKÝ, Irena HOLUBOVÁ, Martin NEČASKÝ, Tomáš SKOPAL, Martin SVOBODA a Sherif SHAKR. Structural XML Query Processing.
ACM Computing Surveys. Association for Computing Machinery, 2017,
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[Detail] HUYNH, B., B. VO a Václav SNÁŠEL. An efficient method for mining frequent sequential patterns using multi-Core processors.
Applied Intelligence. Springer, 2017,
46(3), s. 703-7016. ISSN 0924-669X.
[Detail] OJHA, Varun, Ajith ABRAHAM a Václav SNÁŠEL. Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming.
Applied Soft Computing. Elsevier, 2017,
52(MAR), s. 909-924. ISSN 1568-4946.
[Detail] REŽNAR, Tomáš, Jan MARTINOVIČ, Kateřina SLANINOVÁ, Ekaterina GRAKOVA a Vít VONDRÁK. Probabilistic time-dependent vehicle routing problem.
Central European Journal of Operations Research. Springer, 2017,
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[Detail] PETRÁČKOVÁ, Anna, Andrea SMRŽOVÁ, Petr GAJDOŠ, Markéta SCHUBERTOVÁ, Petra SCHNEIDEROVÁ, Pavel KRÖMER, Václav SNÁŠEL, Martina SKÁCELOVÁ, František MRÁZEK, Josef ZADRAŽIL, Pavel HORÁK a Eva KRIEGOVÁ. Serum protein pattern associated with organ damage and lupus nephritis in systemic lupus erythematosus revealed by PEA immunoassay.
Clinical Proteomics. BioMed Central, 2017,
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Communications in Computer and Information Science. Springer Verlag, 2017,
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Computación y Sistemas. Instituto Politecnico Nacional, 2017,
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. PERGAMON-ELSEVIER SCIENCE LTD, 2017,
60(APR), s. 97-116. ISSN 0952-1976.
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Electric Power Systems Research. Elsevier Science SA, 2017,
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Entropy. Multidisciplinary digital publishing institute, 2017,
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[Detail] DUŽÍ, Marie a Pavel MATERNA. Několik poznámek k Peregrinovu hodnocení TIL.
Filosofický časopis. Akademie věd ČR, 2017,
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Future generation computer systems. Elsevier, 2017,
67(February), s. 286-296. ISSN 0167-739X.
[Detail] NGUYEN, Thuy Lan Chi, Dao PHAN a Miroslav KYNCL. Some solutions to respond climate change for the Mekong delta,Vietnam.
GeoScience Engineering. Vysoká škola báňská - Technická univerzita Ostrava, 2017,
63(3), s. 18-24. ISSN 1802-5420.
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Human Physiology. Moskva: MAIK Nauka/Interperiodica, 2017,
43(5), s. 501-511. ISSN 0362-1197.
[Detail] HYUNH, B., B. VO a Václav SNÁŠEL. An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns.
IEEE Access. IEEE, 2017,
5(1), s. 17392-17402. ISSN 2169-3536.
[Detail] VANTUCH, Tomáš, Stanislav MIŠÁK, Tomáš JEŽOWICZ, Tomáš BURIÁNEK a Václav SNÁŠEL. The Power Quality Forecasting Model for Off-Grid System Supported by Multi-objective Optimization.
IEEE Transactions on Industrial Electronics. IEEE, 2017,
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[Detail] ZATLOUKAL, Filip a Jiří ZNOJ. Malware Detection Based on Multiple PE Headers Identification and Optimization for Specific Types of Files.
Journal of Advanced Engineering and Computation. Ton Duc Thang University, 2017,
1(2), s. 153. ISSN 2588-123X.
[Detail] ŠENKEŘÍK, Roman, Ivan ZELINKA a Michal PLUHÁČEK. Chaos-Based Optimization - A Review.
Journal of Advanced Engineering and Computation. Ton Duc Thang University, 2017,
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Journal of Applied Logic. Elsevier, 2017,
25(SI), s. 48-71. ISSN 1570-8683.
[Detail] FILLEROVÁ, Regina, Jiří GALLO, Martin RADVANSKÝ, Veronika KRAICZOVÁ, Miloš KUDĚLKA a Eva KRIEGOVÁ. Excellent diagnostic characteristics for ultrafast gene profiling of DEFA1-IL1B-LTF in detection of prosthetic joint infections.
Journal of Clinical Microbiology. Washington, D.C.: American Society for Microbiology, 2017,
55(9), s. 2686-2697. ISSN 0095-1137.
[Detail] ZELINKA, Ivan, Lukáš TOMASZEK, P. VASANT, T.T. DAO a D.V. HOANG. A novel approach on evolutionary dynamics analysis - A progress report.
Journal of Computational Science. New York: Elsevier Science, 2017,
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[Detail] VAVRA, P., J. ROMAN, P. ZONCA, P. IHNAT, Martin NĚMEC, J. KUMAR, N. HABIB a A. EL-GENDI. Recent Development of Augmented Reality in Surgery: A Review.
Journal of Healthcare Engineering. Londýn: Wiley-Hindawi, 2017, s. 1-9. ISSN 2040-2295.
[Detail] NOWAKOVÁ, Jana, Michal PRÍLEPOK a Václav SNÁŠEL. Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree.
Journal of Medical Systems. Singapur: Springer, 2017,
41(2), s. 1-16. ISSN 0148-5598.
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Knowledge-Based Systems. Elsevier Science, 2017,
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[Detail] JANČAR, Petr. Branching bisimilarity of normed BPA processes as a rational monoid.
Logical Methods in Computer Science. Technischen Universitat Braunschweig, 2017,
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Logique et analyse. Nauwelaerts, 2017,
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Mathematical Modelling and Analysis. Vilnius Gediminas Technical University, 2017,
22(1), s. 78-94. ISSN 1392-6292.
[Detail] TOMASZEK, Lukáš a Ivan ZELINKA. SOMA Network Model Based on Native Visibility Graph.
Mendel 2017 : 23rd international conference on soft computing : June 20-22, 2017, Brno, Czech Republic. Brno University of Technology, 2017,
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Oncotarget. New York: Impact Journals LLC, 2017,
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Oncotarget. New York: Impact Journals LLC, 2017,
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Organon F. Filozofický ústav SAV, 2017,
24(1), s. 10-36. ISSN 1335-0668.
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Organon F. Filozofický ústav SAV, 2017,
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Pattern Recognition Letters. New York: Elsevier Science, 2017,
98(15 October 2017), s. 103-109. ISSN 0167-8655.
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Periodica Polytechnica: Civil Engineering. Budapest University of Technology and Economics, 2017,
1(1), s. 1-7. ISSN 0553-6626.
[Detail] KONG, L, J.S. PAN, T.W. SUNG, P.W. TSAI a Václav SNÁŠEL. An Energy Balancing Strategy Based on Hilbert Curve and Genetic Algorithm for Wireless Sensor Networks.
Wireless Communications & Mobile Computing. Wiley-Hindawi, 2017,
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Zhurnal vysshei nervnoi deyatel'nosti imeni I. P. Pavlova. MAIK Nauka/Interperiodica, 2017,
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Advances in Electrical and Electronic Engineering. Ostrava: VŠB - Technical University of Ostrava, 2016,
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Advances in Electrical and Electronic Engineering. Ostrava: VŠB - Technical University of Ostrava, 2016,
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[Detail] ZELINKA, Ivan, Petr ŠALOUN, Jakub STONAWSKI a Adam ONDREJKA. An investigation of a new social networks contact suggestion based on face recognition algorithm.
Advances in Electrical and Electronic Engineering. VŠB - Technical University of Ostrava, 2016,
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Annals of Operations Research. New York: Springer, 2016,
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Applied Soft Computing. AMSTERDAM: Elsevier, 2016,
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Applied Soft Computing. Elsevier, 2016,
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Archivum Immunologiae et Therapiae Experimentalis. Springer, 2016,
64(1), s. S55-S61. ISSN 0004-069X.
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Computational Intelligence and Neuroscience. New York: Hindawi Publishing Corporation, 2016,
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Dialectica. Wiley-VCH, 2016,
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2016,
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Electric Power Systems Research. Lausanne: Elsevier Science SA, 2016,
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Electric Power Systems Research. Elsevier Science SA, 2016,
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Expert Systems with Applications. Elsevier, 2016,
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IFAC-PapersOnLine. IFAC Secretariat, 2016,
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Intelligent Decision Technologies. IOS Press, 2016,
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International Journal of Parallel, Emergent and Distributed Systems. Philadelphia: Taylor & Francis, 2016,
Neuvedeno(2016-07-21), s. 1-19. ISSN 1744-5760.
[Detail] GAURA, Jan a Eduard SOJKA. Resistance-Geodesic Distance and Its Use in Image Segmentation.
International Journal on Artificial Intelligence Tools. World Scientific Publishing, 2016,
25(5), s. 1-16. ISSN 0218-2130.
[Detail] OWEIS, Nour Easa, M.M FOUAD, S.R. OWEIS, S.S. OWAIS a Václav SNÁŠEL. A Novel Mapreduce Lift Association Rule Mining Algorithm (MRLAR) for Big Data.
International journal of advanced computer science and applications. The Science and Information (SAI) Organization, 2016,
7(3), s. 151-157. ISSN 2158-107X.
[Detail] BALI, Olfa, Walid ELLOUMI, Ajith ABRAHAM PADATH a Adel M. ALIMI. GPU PSO and ACO Applied to TSP for Vehicle Security Tracking.
Journal of Information Assurance and Security. Dynamic Publishers, 2016,
11(6), s. 369-384. ISSN 1554-1010.
[Detail] SKANDEROVÁ, Lenka, Tomáš FABIÁN a Ivan ZELINKA. Differential Evolution Dynamics Modeled by Longitudinal Social Network.
Journal of Intelligent Systems. Walter de Gruyter GmbH, 2016, s. 1-9. ISSN 0334-1860.
[Detail] BASTERRECH TISCORDIO, Sebastian, Jan JANOUŠEK a Václav SNÁŠEL. A performance study of random neural network as supervised learning tool using CUDA.
Journal of Internet Technology. Yilan: National Ilan University, 2016,
17(4), s. 771-778. ISSN 1607-9264.
[Detail] OLIVKA, Petr, Michal KRUMNIKL, Pavel MORAVEC a David SEIDL. Calibration of Short Range 2D Laser Range Finder for 3D SLAM Usage.
Journal of Sensors. Hindawi Publishing Corporation, 2016,
2016(2016), s. 1-13. ISSN 1687-725X.
[Detail] SANGAIAH, A.K., X.-Z. GAO a Ajith ABRAHAM PADATH. EXPLORING THE ANTECEDENTS OF SOCIAL NETWORK USAGE ON ACADEMIC PERFORMANCE-A COMBINED GP-TOPSIS APPROACH.
Jurnal teknologi. Penerbit Universiti Teknologi Malaysia, 2016,
1(78), s. 55-67. ISSN 0127-9696.
[Detail] KONEČNÝ, Jaromír, Michal PRAUZEK, Pavel KRÖMER a Petr MUSILEK. Novel Point-to-Point Scan Matching Algorithm Based on Cross-Correlation.
Mobile information systems. New York: Hindawi Publishing Corporation, 2016,
2016(2016), s. nestránkováno. ISSN 1574-017X.
[Detail] OJHA, Varun Kumar, S. SCHIANO, C.-Y. WU, Václav SNÁŠEL a A. ABRAHAM. Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree.
Neural Computing and Applications. Vídeň: Springer, 2016,
29(7), s. 467-481. ISSN 0941-0643.
[Detail] KRÖMER, Pavel, Stanislav MIŠÁK, Jindřich STUCHLÝ a Jan PLATOŠ. WIND ENERGY POTENTIAL ASSESSMENT BASED ON WIND DIRECTION MODELLING AND MACHINE LEARNING.
Neural Network World. Praha: Akademie věd České republiky, Ústav informatiky, 2016,
26(6), s. 519-538. ISSN 1210-0552.
[Detail] ZJAVKA, Ladislav a Witold PEDRYCZ. Constructing General Partial Differential Equations using Polynomial and Neural Networks.
Neural Networks. Elsevier, 2016,
73(jaro), s. 58–69. ISSN 0893-6080.
[Detail] SUN, S., J. YUN, H. LIN, N. ZHANG, Ajith ABRAHAM PADATH a H. LIU. Granular transfer learning using type-2 fuzzy HMM for text sequence recognition.
Neurocomputing. Elsevier, 2016,
214(2016), s. 126-133. ISSN 0925-2312.
[Detail] AMMAR, M., S. BOUAZIZ, A.M. ALIMI a Ajith ABRAHAM PADATH. Multi-agent architecture for Multi-objective optimization of Flexible Neural Tree.
Neurocomputing. SAN DIEGO: Elsevier, 2016,
214(NOV), s. 307-316. ISSN 0925-2312.
[Detail] NAIK, B., J. NAYAK, H.S. BEHERA a Ajith ABRAHAM PADATH. A self adaptive harmony search based functional link higher order ANN for non-linear data classification.
Neurocomputing. SAN DIEGO: Elsevier, 2016,
179(February), s. 69-87. ISSN 0925-2312.
[Detail] BLEJCHAŘ, Tomáš, Václav NEVRLÝ, Michal VAŠINEK, Michal DOSTÁL, Milada KOZUBKOVÁ, Jakub DLABKA, Martin STACHOŇ, Libor JUHA, Petr BITALA, Zdeněk ZELINGER, Peter PIRA a Jan WILD. Desorption/ablation of lithium fluoride induced by extreme ultraviolet laser radiation.
Nukleonika. Warszawa: Institute of Nuclear Chemistry and Technology, 2016,
61(2), s. 131-138. ISSN 0029-5922.
[Detail] MESA, A., Sebastian BASTERRECH TISCORDIO, G. GUERBEROFF a F ALVAREZ-VALIN. Hidden Markov models for gene sequence classification: Classifying the VSG gene in the Trypanosoma brucei genome.
Pattern Analysis and Applications. Springer, 2016,
19(3), s. 793-805. ISSN 1433-7541.
[Detail] FUSEK, Radovan a Eduard SOJKA. Energy transfer features combined with DCT for object detection.
Signal, Image and Video Processing. Springer, 2016,
10(3), s. 479. ISSN 1863-1703.
[Detail] ZELINKA, Ivan, Jouni LAMPINEN, Roman ŠENKEŘÍK a Michal PLUHÁČEK. Investigation on evolutionary algorithms powered by nonrandom processes.
Soft computing. Springer, 2016,
2015(2015), s. 1-11. ISSN 1432-7643.
[Detail] WANG, L., B. YANG a Ajith ABRAHAM PADATH. Distilling middle-age cement hydration kinetics from observed data using phased hybrid evolution.
Soft computing. Springer, 2016,
9(20), s. 3637-3656. ISSN 1432-7643.
[Detail] OJHA, Varun Kumar, P. DUTTA, A. CHAUDHURI a H. SAHA. Convergence analysis of backpropagation algorithm for designing an intelligent system for sensing manhole gases.
Studies in Computational Intelligence. Volume 611. New York: Springer Verlag, 2016,
611(611), s. 215-236. ISBN 978-3-642-34299-8.
[Detail] JANOUŠEK, Jan, Petr GAJDOŠ, Pavel DOHNÁLEK a Michal RADECKÝ. Towards power plant output modelling and optimization using parallel Regression Random Forest.
Swarm and Evolutionary Computation. Elsevier, 2016,
26(Ferbruary), s. 50-55. ISSN 2210-6502.
[Detail] GAJDOŠ, Petr, Tomáš JEŽOWICZ, Vojtěch UHER a Pavel DOHNÁLEK. A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data.
Swarm and Evolutionary Computation. Elsevier, 2016,
26(February), s. 56-63. ISSN 2210-6502.
[Detail] ZEMAN, Dalibor, Ivan ZELINKA a Miroslav VOZŇÁK. A Reinforcement Learning Framework for Knowledge-Defined Networking. In:
2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Piscataway: IEEE, 2023. s. 152-156. ISBN 979-8-3503-9328-6.
[Detail] KRÖMER, Pavel a Vojtěch UHER. Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation. In:
ACM International Conference Proceeding Series 2023. New York: Association for Computing Machinery, 2023. s. 1-8. ISBN 979-8-4007-0849-7.
[Detail] UHER, Vojtěch a Pavel KRÖMER. Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms. In:
ACM International Conference Proceeding Series 2023. New York: Association for Computing Machinery, 2023. s. 1-9. ISBN 979-8-4007-0849-7.
[Detail] FUSEK, Radovan, Eduard SOJKA, Jan GAURA a Jakub HALMAN. Driver Anomaly Detection Using Skeleton Images. In:
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[Detail] HRBÁČ, David, Jakub KRUŽÍK, David HORÁK a Jaroslav KRUIS. Node Renumbering Strategies for Efficient Direct Methods in Selected Problems of Soil Mechanics. In:
AIP Conference Proceedings. New York: American Institute of Physics, 2023. s. 170012. ISBN 0-000-00000-0.
[Detail] HASAL, Martin, Jana NOWAKOVÁ, Lukáš TOMASZEK a Jaromír TOVÁREK. Highway Traffic Monitoring Independent to Shadows in OpenCV. In:
AIP Conference Proceedings. New York: American Institute of Physics, 2023. s. nestránkováno. ISBN 0-000-00000-0.
[Detail] BLEJCHAŘ, Tomáš, Václav NEVRLÝ, Michal DOSTÁL, Vít KLEČKA, Petr BITALA, V. VALEK, Michal VAŠINEK, J. SUCHANEK, Zdeněk ZELINGER a Jan WILD. Numerical simulation of the combustion of preheated ultra-lean dimethyl ether/air mixture. In:
AIP Conference Proceedings. Volume 2672. New York: American Institute of Physics, 2023. s. 030002. ISBN 978-0-7354-4325-9.
[Detail] DOPATER, Emanuel a Miloš KUDĚLKA. Node Classification Based on Non-symmetric Dependencies and Graph Neural Networks. In:
COMPLEX NETWORKS AND THEIR APPLICATIONS XI, COMPLEX NETWORKS 2022, VOL 2. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2023. s. 347-357. ISBN 978-3-031-21133-1.
[Detail] PLESNÍK, Jakub, Kristýna KUBÍKOVÁ a Miloš KUDĚLKA. Delta Density: Comparison of Different Sized Networks Irrespective of Their Size. In:
COMPLEX NETWORKS AND THEIR APPLICATIONS XI, COMPLEX NETWORKS 2022, VOL 2. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2023. s. 371-379. ISBN 978-3-031-21133-1.
[Detail] ŠTOLFA, Jakub, Marek SPÁNYIK a Dolejší PETR. Boosting the EU-Wide Collaboration on Skills Agenda in the Automotive-Mobility Ecosystem. In:
Communications in Computer and Information Science. Volume 1890 CCIS. Cham: Springer, 2023. s. 196-204. ISBN 978-3-031-42306-2.
[Detail] ŠTOLFA, Svatopluk, Jakub ŠTOLFA, Marek SPÁNYIK, Richard MESSNARZ, Damjan EKERT, Georg MACHER, Michael KRISPER, Christoph SCHMITTNER, Shaaban ABDELKADER, Alexander MUCH a Alen SALAMUN. CYBERENG - Training Cybersecurity Engineer and Manager Skills in Automotive - Experience. In:
Communications in Computer and Information Science. Volume 1890 CCIS. Cham: Springer, 2023. s. 366-383. ISBN 978-3-031-42306-2.
[Detail] UHER, Vojtěch, Jana NOWAKOVÁ a Pavel KRÖMER. Initial Analysis of Multiple Retinal Diseases Classification with Fuzzy Medical Image Retrieval. In:
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2023. Piscataway: IEEE, 2023. s. 4926-4931. ISBN 979-8-3503-3703-7.
[Detail] DUŽÍ, Marie. 'Knowing-That' vs. 'Knowing-wh'. In:
Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press BV, 2023. s. 136-158. ISBN 978-1-64368-370-6.
[Detail] ČIHALOVÁ, Martina a Marek MENŠÍK. Rules for converting natural language text with motion verbs into TIL-Script. In:
Frontiers in Artificial Intelligence and Applications. Volume 364. Amsterdam: IOS Press, 2023. s. 159-168. ISBN 978-1-64368-370-6.
[Detail] MENŠÍK, Marek, Adam ALBERT, Petr RAPANT a Tomáš MICHALOVSKÝ. Heuristics for spatial data descriptions in a multi-Agent system. In:
Frontiers in Artificial Intelligence and Applications. Volume 364. Amsterdam: IOS Press, 2023. s. 68-80. ISBN 978-1-64368-370-6.
[Detail] KIM TRAN, Toai, R. SENKERIK, Ivan ZELINKA, A. ULRICH, V.T.X. HANH a V.M. HUAN. ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 13588. Cham: Springer, 2023. s. 131-143. ISBN 978-3-031-23491-0.
[Detail] UHER, Vojtěch a Pavla DRÁŽDILOVÁ. Towards Rough Set Theory for Outliers Detection in Questionnaire Data. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 14164. Cham: Springer, 2023. s. 310-324. ISBN 978-3-031-42822-7.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Intra- and All-Day PV Power Forecasting Using Expansion PDE Models Composed of the L-Transform Components in Nodes of Step-by-Step Evolved Polynomial Binary-Nets. In:
Lecture Notes in Computer Science. Volume 14134. Cham: Springer, 2023. s. 678–689. ISBN 978-3-031-43084-8.
[Detail] DUA, Amit, Pavel KRÖMER, Zbigniew J. CZECH a Tomasz JASTRZĄB. Genetic Algorithm with Heuristic Mutation for Wireless Sensor Network Optimization. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 182. Cham: Springer, 2023. s. 177-189. ISBN 978-3-031-40970-7.
[Detail] FUSEK, Radovan, Jakub HALMAN, Eduard SOJKA a Jan GAURA. Detection of Dangerous Driver Health Problems Using HOG-Autoencoder. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 182. Cham: Springer, 2023. s. 454-464. ISBN 978-3-031-40970-7.
[Detail] HASAL, Martin, Marek PECHA, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA, Václav SNÁŠEL a Juraj TIMKOVIČ. Retinal Vessel Segmentation by U-Net with VGG-16 Backbone on Patched Images with Smooth Blending. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 182. Cham: Springer, 2023. s. 465-474. ISBN 978-3-031-40970-7.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Photovoltaic power 24-hour predictions using PDE component models based on the L-transform conversion produced in node-by-node evolved binomial networks,. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 182. Cham: Springer, 2023. s. 79-89. ISBN 978-3-031-40970-7.
[Detail] KOZIOL, Michal, Michal KUNICKI, Ireneusz URBANIEC, Lukasz NAGI, Ondřej KABOT a Lukáš KLEIN. Analysis of Radio Frequency and Ultraviolet Signals Emitted by Surface Partial Discharges. In:
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE). Piscataway: IEEE, 2023. s. 1-4. ISBN 979-8-3503-3594-1.
[Detail] KABOT, Ondřej, Lukáš KLEIN, Michal KUNICKI a Michal KOZIOL. Partial Discharges in Electronic Parts in Low Air Pressure Environment. In:
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE). Piscataway: IEEE, 2023. s. 1-5. ISBN 979-8-3503-3594-1.
[Detail] KLEIN, Lukáš, Michal KUNICKI, Ondřej KABOT a Michal KOZIOL. Towards Fault Diagnosis of Covered Conductors through Partial Discharge Classification using Antenna-based Frequency Domain Analysis. In:
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE). Piscataway: IEEE, 2023. s. 1-5. ISBN 979-8-3503-3594-1.
[Detail] JAHAN, Ibrahim, Faisal MOHAMED, Vojtěch BLAŽEK, Lukáš PROKOP, Stanislav MIŠÁK a Václav SNÁŠEL. Power Quality Parameters Forecasting Based on SOM Maps with KNN Algorithm and Decision Tree. In:
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE). Piscataway: IEEE, 2023. s. 1-6. ISBN 979-8-3503-3594-1.
[Detail] RADVANSKÝ, Martin, Martin RADVANSKÝ, Miloš KUDĚLKA a Eva KRIEGOVÁ. Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients. In:
Proceedings of the 24th International Carpathian Control Conference : 12-14 June 2023, Szilvásvárad, Hungary. Piscataway: IEEE, 2023. s. 358-363. ISBN 979-8-3503-1022-1.
[Detail] HORÁK, David, Marek PECHA, Richard MILLS a Zachary LANGFORD. WILDFIRES IDENTIFICATION: SEMANTIC SEGMENTATION USING SUPPORT VECTOR MACHINE CLASSIFIER. In:
Programs and Algorithms of Numerical Mathematics 21 : Jablonec nad Nisou, June 19-24, 2022 : proceedings of seminar. Praha: Institute of Mathematics, Academy of Sciences of the Czech Republic, 2023. s. 173-185. ISBN 978-80-85823-73-8.
[Detail] PROKOP, Petr, Pavla DRÁŽDILOVÁ a Jan PLATOŠ. Hierarchical Overlapping Community Detection for Weighted Networks. In:
Studies in Computational Intelligence. Volume 1142. Cham: Springer, 2023. s. 159–171. ISBN 978-3-031-53498-0.
[Detail] KRÖMER, Pavel a Vojtěch UHER. Optimization of real-world supply routes by nature-inspired metaheuristics. In:
2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Piscataway: IEEE, 2022. s. nestránkováno. ISBN 978-1-66546-708-7.
[Detail] BASTERRECH, Sebastian a Gerardo RUBINO. Evolutionary Echo State Network: evolving reservoirs in the Fourier space. In:
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). NEW YORK: IEEE, 2022. s. nestránkováno. ISBN 978-1-72818-671-9.
[Detail] KRÖMER, Pavel, Vojtěch UHER, Andrejaana ANDOVA, Tea TUSAR a Bogdan FILIPIC. Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. In:
2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022 : proceedings. Piscataway: IEEE, 2022. s. 336-342. ISBN 979-8-3503-2029-9.
[Detail] ABDULLA, Hussam, Asim Mohammed Eltahir ALI, S. ALWAHAISHI, Khalifa A. S. SAGHAIR, Jan PLATOŠ a Václav SNÁŠEL. Chatbots Development Using Natural Language Processing: A Review. In:
26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 : proceedings : 19-22 July 2022, Chania, Crete Island, Greece. Piscataway: IEEE, 2022. s. 122-128. ISBN 978-1-66548-187-8.
[Detail] ABDULLA, Hussam, Asim Mohammed Eltahir ALI, S ALWAHAISHI, Khalifa A. S. SAGHAIR, Jan PLATOŠ a Václav SNÁŠEL. Deep Neural Network and Text Processing: A Literature Review. In:
26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 : proceedings : 19-22 July 2022, Chania, Crete Island, Greece. Piscataway: IEEE, 2022. s. 139-144. ISBN 978-1-66548-187-8.
[Detail] ALI, Asim Mohammed Eltahir, Hussam ABDULLA, Jan PLATOŠ a Václav SNÁŠEL. Review of Chatbot Security Systems. In:
26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 : proceedings : 19-22 July 2022, Chania, Crete Island, Greece. Piscataway: IEEE, 2022. s. 167-178. ISBN 978-1-66548-187-8.
[Detail] ALI, Asim Mohammed Eltahir, Hussam ABDULLA, Jan PLATOŠ a Václav SNÁŠEL. An Overview of Chatbot Structure and Source Algorithms. In:
26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 : proceedings : 19-22 July 2022, Chania, Crete Island, Greece. Piscataway: IEEE, 2022. s. 91-98. ISBN 978-1-66548-187-8.
[Detail] UHER, Vojtěch a Pavel KRÖMER. Lehmer Encoding for Evolutionary Algorithms on Traveling Salesman Problem. In:
ACM International Conference Proceeding Series 2022. New York: ACM, 2022. s. 216-222. ISBN 978-1-4503-9574-8.
[Detail] PAN, Jeng-Shyang, Pei HU, Shu-Chuan CHU a Václav SNÁŠEL. K-PPE: A Variant Phasmatodea Population Evolution Algorithm for Global Optimization. In:
ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2021 & FITAT 2021), VOL 1. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 171-180. ISBN 978-981-19105-7-9.
[Detail] VAŠINKOVÁ, Markéta, Michal KRUMNIKL, Zuzana MIKULKOVÁ, Petr GAJDOŠ a Eva KRIEGOVÁ. Simple Approach for Dynamics Evaluation of Scratch Wound Healing Assay. In:
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2022. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 380-392. ISBN 978-3-031-14627-5.
[Detail] KONG, Lingping, Václav SNÁŠEL, Swagatam DAS a Jeng-Shyang PAN. A Location Gradient Induced Sorting Approach for Multi-objective Optimization. In:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING (ECC 2021). CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 157-166. ISBN 978-981-16-8048-9.
[Detail] SNÁŠEL, Václav, Lingping KONG a Jeng-Shyang PAN. Visualization of Population Convergence Results by Sammon Mapping in Multi-objective Optimization. In:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING (ECC 2021). CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 295-304. ISBN 978-981-16-8048-9.
[Detail] MICHALOVSKÝ, T., M. MENŠÍK a Adam ALBERT. Processing TIL-Script Constructions for Supervised Machine Learning with Symbolic Representation. In:
CEUR Workshop Proceedings. Volume 3226. Cáchy: ceur-ws.org, 2022. s. 175-183. ISBN 0-000-00000-0.
[Detail] MAKKAR, S.S., S. MEZA, R. BOGDAN, D. BARMAYOUN, Jakub ŠTOLFA, Svatopluk ŠTOLFA, Marek SPÁNYIK, R. MESSNARZ a A. TOTH. Automotive Skills Alliance—From Idea to Example of Sys/SW International Standards Group Implementation. In:
Communications in Computer and Information Science. Volume 1646. Cham: Springer, 2022. s. 125-134. ISBN 978-3-031-15558-1.
[Detail] ZORMAN, M., A. NORBERG, K. SANDBACKA, Marek SPÁNYIK, Jakub ŠTOLFA a J. ALVES. Curriculum Preparation for Battery Value Chain Skills Needs. In:
Communications in Computer and Information Science. Volume 1646. Cham: Springer, 2022. s. 189-195. ISBN 978-3-031-15558-1.
[Detail] MESSNARZ, Richard, Damjan EKERT, Georg MACHER, Svatopluk ŠTOLFA, Jakub ŠTOLFA a Alexander MUCH. Automotive SPICE for Cybersecurity – MAN.7 Cybersecurity Risk Management and TARA. In:
Communications in Computer and Information Science. Volume 1646. Cham: Springer, 2022. s. 319-334. ISBN 978-3-031-15558-1.
[Detail] ŠTOLFA, Svatopluk, Jakub ŠTOLFA, Marek SPÁNYIK, Jan PLUCAR, Richard MESSNARZ, Damjan EKERT, Georg MACHER, Michael KRISPER, Christoph SCHMITTNER, Shaaban ABDELKADER, Alexander MUCH a Alen SALAMUN. Automotive Cybersecurity Manager and Engineer Skills Needs and Pilot Course Implementation. In:
Communications in Computer and Information Science. Volume 1646. Cham: Springer, 2022. s. 335-348. ISBN 978-3-031-15558-1.
[Detail] SNÁŠEL, Václav, Khanh Dang TRAN, Phuong N. H PHAM, Josef KUENG a Lingping KONG. In-Memory Computing Architectures for Big Data and Machine Learning Applications. In:
FUTURE DATA AND SECURITY ENGINEERING. BIG DATA, SECURITY AND PRIVACY, SMART CITY AND INDUSTRY 4.0 APPLICATIONS, FDSE 2022. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 19-33. ISBN 978-981-19806-9-5.
[Detail] KRÖMER, Pavel a Vojtěch UHER. The effect of decoding fairness on particle swarm optimization for the p-median problem. In:
GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2022. s. 1650-1657. ISBN 978-1-4503-9268-6.
[Detail] ŠALOUN, Petr, Martin MALČÍK, Milan KLEMENT, David ANDREŠIČ a Michaela KOLÁŘOVÁ. Teen-sexting on Social Network ”Instagram” and it’s Computational Thinking Consequences. In:
INFORMATICS 2022 : 2022 IEEE 16th International Scientific Conference on Informatics : November 23–25, 2022, Poprad, Slovakia : proceedings. Piscataway: IEEE, 2022. s. 317-322. ISBN 0-000-00000-0.
[Detail] TRAN, Tin T a Václav SNÁŠEL. Improvement Graph Convolution Collaborative Filtering with Weighted Addition Input. In:
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2022, PT I. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. s. 635-647. ISBN 978-3-031-21742-5.
[Detail] FUSEK, Radovan, Eduard SOJKA, Jan GAURA a Jakub HALMAN. Driver State Detection from In-Car Camera Images. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 13599. Cham: Springer, 2022. s. 307-319. ISBN 978-3-031-20715-0.
[Detail] KONG, Lingping, A. KUMAR, Václav SNÁŠEL, S. DAS, Pavel KRÖMER a V. OJHA. CSS–A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 13627. Cham: Springer, 2022. s. 54-68. ISBN 978-3-031-21093-8.
[Detail] FUSEK, Radovan a Pavel KRÖMER. A Neural System for Acute Disease Detection from Facial Images. In:
Lecture Notes in Networks and Systems. CHAM: Springer Science and Business Media Deutschland GmbH, 2022. s. 413-421. ISBN 978-3-031-14626-8.
[Detail] FALTÝNEK, Jan, Martin GOLASOWSKI, Kateřina SLANINOVÁ a Jan MARTINOVIČ. Shortest n-paths Algorithm for Traffic Optimization. In:
Lecture Notes in Networks and Systems. Volume 241. Cham: Springer, 2022. s. 169-180. ISBN 978-981-16-4286-9.
[Detail] KRÖMER, Pavel a Jana NOWAKOVÁ. Medical Image Analysis with NVIDIA Jetson GPU Modules. In:
Lecture Notes in Networks and Systems. Volume 312. Cham: Springer, 2022. s. 233-242. ISBN 978-3-030-84909-2.
[Detail] TIWARI, Arti, Kamanasish BHATTACHARJEE, Millie PANT, Jana NOWAKOVÁ a Václav SNÁŠEL. Evolutionary Multi-level Thresholding for Breast Thermogram Segmentation. In:
Lecture Notes in Networks and Systems. Volume 312. Cham: Springer, 2022. s. 253-263. ISBN 978-3-030-84909-2.
[Detail] RADVANSKÝ, Martin, Martin RADVANSKÝ a Miloš KUDĚLKA. Identification of the Occurrence of Poor Blood Circulation in Toes by Processing Thermal Images from Flir Lepton Module. In:
Lecture Notes in Networks and Systems. Volume 312. Cham: Springer, 2022. s. 264-273. ISBN 978-3-030-84909-2.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Photo-Voltaic Power Daily Statistical Predictions Using PDE Models of Stepwise Evolved Polynomial Networks with the Sum PDE Partition and L-transform Substitution. In:
Lecture Notes in Networks and Systems. Volume 330. Cham: Springer, 2022. s. 55-65. ISBN 978-3-030-87177-2.
[Detail] PECHA, Marek. Balancing Predictive Relevance of Ligand Biochemical Activities. In:
Lecture Notes in Networks and Systems. Volume 338. Cham: Springer, 2022. s. 338-348. ISBN 978-3-030-95928-9.
[Detail] DUA, A., Pavel KRÖMER, Z.J. CZECH a T. JASTRZĄB. A Bi-objective Genetic Algorithm for Wireless Sensor Network Optimization. In:
Lecture Notes in Networks and Systems. Volume 497. Cham: Springer, 2022. s. 147-159. ISBN 978-3-031-08811-7.
[Detail] NGUYEN, Dung Quoc, N.-M. PHAN a Pavel KRÖMER. OCR Error Correction for Vietnamese OCR Text with Different Edit Distances. In:
Lecture Notes in Networks and Systems. Volume 527. Cham: Springer, 2022. s. 130-139. ISBN 978-3-031-14626-8.
[Detail] UHER, Vojtěch a Jana NOWAKOVÁ. Impact of Chest X-ray Images Enhancement to COVID-19 Classification Using Vector Quantization and Fuzzy S-tree. In:
Lecture Notes in Networks and Systems. Volume 527. Cham: Springer, 2022. s. 371-379. ISBN 978-3-031-14626-8.
[Detail] DOLEŽÍ, Vít, Petr GAJDOŠ, Marek BĚHÁLEK a Michal VAŠINEK. Restriction Site Detection in Optical Mapping Data. Přel. . In:
Lecture Notes in Networks and Systems. Volume 527. Cham: Springer, 2022. s. 393-402. ISBN 978-3-031-14626-8.
[Detail] RADVANSKÝ, Martin, Martin RADVANSKÝ, Miloš KUDĚLKA a Miroslav JIRGL. Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering. In:
Lecture Notes in Networks and Systems. Volume 527. Cham: Springer, 2022. s. 403-412. ISBN 978-3-031-14626-8.
[Detail] HASAL, Martin, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA a Juraj TIMKOVIČ. Image Enhancement in Retinopathy of Prematurity. In:
Lecture Notes in Networks and Systems. Volume 527. Cham: Springer, 2022. s. 422-431. ISBN 978-3-031-14626-8.
[Detail] DUA, A., T. JASTRZĄB, Z.J. CZECH a Pavel KRÖMER. A Randomized Algorithm for Wireless Sensor Network Lifetime Optimization. In:
Q2SWinet '22: Proceedings of the 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks. New York: Association for Computing Machinery, 2022. s. 87-93. ISBN 978-1-4503-9481-9.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. PV Energy Prediction in 24 h Horizon Using Modular Models Based on Polynomial Conversion of the L-Transform PDE Derivatives in Node-by-Node-Evolved Binary-Tree Networks. In:
The 8th International Conference on Time Series and Forecasting : Gran Canaria, Spain : 27–30 June 2022. Basilej: MDPI Open Access Publishing, 2022. s. 1-10. ISBN 978-3-0365-5451-8.
[Detail] DEY, S., S. DE, D. GHOSH, D. KONAR, Siddhartha BHATTACHARYYA a Jan PLATOŠ. A novel quantum inspired sperm whale meta-heuristic for image thresholding. In:
2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019. Piscataway: IEEE, 2020. s. nestránkováno. ISBN 978-1-5386-7989-0.
[Detail] BLAŽEK, Vojtěch, Michal PETRUŽELA, Jan VYSOCKÝ, Lukáš PROKOP, Stanislav MIŠÁK a David SEIDL. Concept of Real-Time Communication in Off-Grid System with Vehicle-to-Home Technology. In:
2020 21st International Scientific Conference on Electric Power Engineering (EPE) : conference proceedings : 19-21 October 2020, Prague, Czech Republic. Piscataway: IEEE, 2020. s. 1-6. ISBN 978-1-72819-480-6.
[Detail] JAHAN, Ibrahim Salem, Stanislav MIŠÁK a Václav SNÁŠEL. Smart control system based on power quality parameter short-term forecasting. In:
2020 21st International Scientific Conference on Electric Power Engineering (EPE) : conference proceedings : 19-21 October 2020, Prague, Czech Republic. Piscataway: IEEE, 2020. s. nestránkováno. ISBN 978-1-72819-480-6.
[Detail] CHENARLOGH, V.A., Hossein BARGHI JOND a Jan PLATOŠ. A Robust Deep Model for Human Action Recognition in Restricted Video Sequences. In:
2020 43rd International Conference on Telecommunications and Signal Processing, TSP 2020. Piscataway: IEEE, 2020. s. 541-544. ISBN 978-1-72816-376-5.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Václav SNÁŠEL. Self-organizing Migrating Algorithm for the Single Row Facility Layout Problem. In:
2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Piscataway: IEEE, 2020. s. nestránkováno. ISBN 978-1-72816-929-3.
[Detail] NOWAKOVÁ, Jana, Martin HASAL a Václav SNÁŠEL. Visualization of users raking in online dating service. In:
Advances in Intelligent Systems and Computing. Volume 1035. Cham: Springer, 2020. s. 202-211. ISBN 978-3-030-29034-4.
[Detail] SUN, Yujia a Jan PLATOŠ. Captcha recognition based on kohonen maps. In:
Advances in Intelligent Systems and Computing. Volume 1035. Cham: Springer, 2020. s. 296-305. ISBN 978-3-030-29034-4.
[Detail] SNÁŠEL, Václav a Lingping KONG. Modified Genetic Algorithm with Sorting Process for Wireless Sensor Network. In:
Advances in Intelligent Systems and Computing. Volume 1059. Singapur: Springer, 2020. s. 381-388. ISBN 978-981-15-0323-8.
[Detail] BHATTACHARYYA, Siddhartha, S DEY, Jan PLATOŠ, Václav SNÁŠEL a C DUTTA. Multilevel Quantum Sperm Whale Metaheuristic for Gray-Level Image Thresholding. In:
Advances in Intelligent Systems and Computing. Volume 1087. Singapur: Springer, 2020. s. 775-788. ISBN 978-981-15-1285-8.
[Detail] SUN, Yujia a Jan PLATOŠ. Text classification based on topic modeling and chi-square. In:
Advances in Intelligent Systems and Computing. Volume 1107. Singapur: Springer, 2020. s. 513-520. ISBN 978-981-15-3307-5.
[Detail] SUN, Yujia a Jan PLATOŠ. Segmentation of CAPTCHA Using Corner Detection and Clustering. In:
Advances in Intelligent Systems and Computing. Volume 1156. Cham: Springer, 2020. s. 655-666. ISBN 978-3-030-50096-2.
[Detail] LIU, Feng a Pavel KRÖMER. Early Age Education on Artificial Intelligence: Methods and Tools. In:
Advances in Intelligent Systems and Computing. Volume 1156. Cham: Springer, 2020. s. 696-706. ISBN 978-3-030-50096-2.
[Detail] MESHKINI, Khatereh, Jan PLATOŠ a Hassan GHASSEMAIN. An Analysis of Convolutional Neural Network for Fashion Images Classification (Fashion-MNIST). In:
Advances in Intelligent Systems and Computing. Volume 1156. Cham: Springer, 2020. s. 85-95. ISBN 978-3-030-50096-2.
[Detail] SUN, Yujia a Jan PLATOŠ. High-dimensional data clustering algorithm based on stacked-random projection. In:
Advances in Intelligent Systems and Computing. Volume 1263. Cham: Springer, 2020. s. 391-401. ISBN 978-3-030-57795-7.
[Detail] HŘIVŇÁK, Rostislav, Petr GAJDOŠ a Václav SNÁŠEL. Towards faster matching algorithm using ternary tree in the area of genome mapping. In:
Advances in Intelligent Systems and Computing. Volume 1263. Cham: Springer, 2020. s. 413-424. ISBN 978-3-030-57795-7.
[Detail] KONG, Lingping a Václav SNÁŠEL. A New Advantage Sharing Inspired Particle Swarm Optimization Algorithm. In:
Advances in Intelligent Systems and Computing. Volume 834. Singapur: Springer, 2020. s. 3-10. ISBN 978-981-13-5840-1.
[Detail] DAS, R., S. DE, Siddhartha BHATTACHARYYA, Jan PLATOŠ, Václav SNÁŠEL a A.E. HASSANIEN. Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification. In:
Advances in Intelligent Systems and Computing. Volume 921. Cham: Springer, 2020. s. 712-721. ISBN 978-3-030-14117-2.
[Detail] TRUONG, Cong Thanh, Ivan ZELINKA a R. SENKERIK. Neural Swarm Virus. In:
Communications in Computer and Information Science. Volume 1092. Cham: Springer, 2020. s. 122-134. ISBN 978-3-030-37837-0.
[Detail] TRUONG, Thanh Cong, Quoc Bao DIEP, Ivan ZELINKA a R. SENKERIK. Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge. In:
Communications in Computer and Information Science. Volume 1092. Cham: Springer, 2020. s. 13-20. ISBN 978-3-030-37837-0.
[Detail] SENKERIK, R., A. VIKTORIN, T. KADAVY, M. PLUHACEK a Ivan ZELINKA. Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. In:
Communications in Computer and Information Science. Volume 1092. Cham: Springer, 2020. s. 177-188. ISBN 978-3-030-37837-0.
[Detail] ŠTOLFA, Jakub, Svatopluk ŠTOLFA, R. MESSNARZ, O. VELEDAR, D. EKERT, G. MACHER a U. MADALENO. Automotive Engineering Skills and Job Roles of the Future?. In:
Communications in Computer and Information Science. Volume 1251. Cham: Springer, 2020. s. 352-369. ISBN 978-3-030-56440-7.
[Detail] MACHER, G., E. BRENNER, R. MESSNARZ, D. EKERT, Jakub ŠTOLFA, Svatopluk ŠTOLFA, J. NIEMANN, C. FUSSENECKER, M. SCHOENING, A. PAUL, N. PAVLOV, B. GIGOV a M.S. PAVLOVA. A Study of Electric Powertrain Engineering - Its Requirements and Stakeholders Perspectives. In:
Communications in Computer and Information Science. Volume 1251. Cham: Springer, 2020. s. 396-407. ISBN 978-3-030-56440-7.
[Detail] MESSNARZ, R., G. MACHER, F. STAHL, S. WACHTER, D. EKERT, Jakub ŠTOLFA a Svatopluk ŠTOLFA. Automotive Cybersecurity Engineering Job Roles and Best Practices - Developed for the EU Blueprint Project DRIVES. In:
Communications in Computer and Information Science. Volume 1251. Cham: Springer, 2020. s. 499-510. ISBN 978-3-030-56440-7.
[Detail] STEGER, B., D. EKERT, R. MESSNARZ, Jakub ŠTOLFA, Svatopluk ŠTOLFA a Z. VELART. Metrics and Dashboard for Level 2 - Experience. In:
Communications in Computer and Information Science. Volume 1251. Cham: Springer, 2020. s. 652-672. ISBN 978-3-030-56440-7.
[Detail] NGUYEN, B.-N.T., P.N.H. PHẠM, V.T. NGUYEN, P.Q. VIET, L.D. TUAN a Václav SNÁŠEL. Py_ape: Text Data Acquiring, Extracting, Cleaning and Schema Matching in Python. In:
Communications in Computer and Information Science. Volume 1306. Singapur: Springer, 2020. s. 78-89. ISBN 978-981-334-369-6.
[Detail] KONSTANTINOV, S.V., A.I. DIVEEV, E.A. SOFRONOVA a Ivan ZELINKA. Optimal Control System Synthesis Based on the Approximation of Extremals by Symbolic Regression. In:
European Control Conference 2020, ECC 2020. Piscataway: IEEE, 2020. s. 2021-2026. ISBN 978-3-907144-01-5.
[Detail] KIYOKIYASUSHI, Yasushi, Bernhard THALHEIM, Marie DUŽÍ, Hannu JAAKKOLA, Petchporn CHAWAKITCHAREON a Anneli HEIMBURGER. Towards a Great Design of Conceptual Modelling. In:
Frontiers in Artificial Intelligence and Applications. Volume 321. Amsterdam: IOS Press, 2020. s. 531-544. ISBN 978-1-64368-044-6.
[Detail] NGUYEN, H.D., T. HUYNH, S.T. LUU, S.N. HOANG, V.T. PHAM a Ivan ZELINKA. Measure of the content creation score on social network using sentiment score and passion point. In:
Frontiers in Artificial Intelligence and Applications. Volume 327. Amsterdam: IOS Press, 2020. s. 425-434. ISBN 978-1-64368-114-6.
[Detail] ALBERT, Adam, Marie DUŽÍ, Marek MENŠÍK, Vojtěch PATSCHKA a Miroslav PAJR. Search for Appropriate Textual Information Sources. In:
Frontiers in Artificial Intelligence and Applications. Volume 333. Amsterdam: IOS Press, 2020. s. 227-246. ISBN 978-1-64368-140-5.
[Detail] KUMAR, A., S. DAS a Ivan ZELINKA. A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. In:
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, 2020. s. 11-12. ISBN 978-1-4503-7128-5.
[Detail] KUMAR, A., S. DAS a Ivan ZELINKA. A self-adaptive spherical search algorithm for real-world constrained optimization problems. In:
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, 2020. s. 13-14. ISBN 978-1-4503-7128-5.
[Detail] TRUONG, Thanh Cong, T.-P. HUYNH a Ivan ZELINKA. Applications of swarm intelligence algorithms countering the cyber threats. In:
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, 2020. s. 1476-1485. ISBN 978-1-4503-7128-5.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Václav SNÁŠEL. Solving the single row facility layout problem by differential evolution. In:
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, 2020. s. 210-218. ISBN 978-1-4503-7128-5.
[Detail] ZELINKA, Ivan a R. ŠENKERÍK. Swarm intelligence in cybersecurity. In:
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2020. s. 1313-1342. ISBN 978-1-4503-7127-8.
[Detail] DUŽÍ, Marie a Michal FAIT. Integrating special rules rooted in natural language semantics into the system of natural deduction. In:
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Setúbal: SciTePress - Science and Technology Publications, 2020. s. 410-421. ISBN 978-989-758-395-7.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Václav SNÁŠEL. Optimization of Generalized Halton Sequences by Differential Evolution. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11968. Cham: Springer, 2020. s. 370-382. ISBN 978-3-030-38628-3.
[Detail] KOJECKÝ, Lumír a Ivan ZELINKA. On the Similarity Between Neural Network and Evolutionary Algorithm. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415. Cham: Springer, 2020. s. 147-158. ISBN 978-3-030-61400-3.
[Detail] DIEP, Quoc Bao, Thanh Cong TRUONG a Ivan ZELINKA. Obstacle Avoidance for Drones Based on the Self-Organizing Migrating Algorithm. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415. Cham: Springer, 2020. s. 376-386. ISBN 978-3-030-61400-3.
[Detail] SENKERIK, R., A. VIKTORIN, T. KADAVY, M. PLUHACEK a Ivan ZELINKA. Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems?. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415. Cham: Springer, 2020. s. 423-434. ISBN 978-3-030-61400-3.
[Detail] TRUONG, Thanh Cong, Quoc Bao DIEP, Ivan ZELINKA a R. SENKERIK. Supervised Classification Methods for Fake News Identification. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415. Cham: Springer, 2020. s. 445-454. ISBN 978-3-030-61400-3.
[Detail] NGUYEN, Dung Quoc, D.-A. LE, N.-M. PHAN a Ivan ZELINKA. An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12466. Cham: Springer, 2020. s. 448-461. ISBN 978-3-030-63923-5.
[Detail] LE, Van Vang, Trung Tin TRAN, P.N.H. PHAM a Václav SNÁŠEL. Anchor Link Prediction in Online Social Network Using Graph Embedding and Binary Classification. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12496. Cham: Springer, 2020. s. 229-240. ISBN 978-3-030-63006-5.
[Detail] PHAM, P.N.H., Van Vang LE a Václav SNÁŠEL. Community Detection in Complex Networks Using Algorithms Based on K-Means and Entropy. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12496. Cham: Springer, 2020. s. 241-251. ISBN 978-3-030-63006-5.
[Detail] FUSEK, Radovan a Petr DOBEŠ. Pupil localization using self-organizing migrating algorithm. In:
Lecture Notes in Electrical Engineering. Cham: Springer Verlag, 2020. s. 207-216. ISBN 978-3-030-14906-2.
[Detail] TOMASZEK, Lukáš, Patrik LYČKA a Ivan ZELINKA. On the self-organizing migrating algorithm comparison by means of centrality measures. In:
Lecture Notes in Electrical Engineering. Cham: Springer Verlag, 2020. s. 335-343. ISBN 978-3-030-14906-2.
[Detail] DUŽÍ, Marie a Bjørn Thoring Flagstad JESPERSEN. An intelligent question-answer system over natural-language texts. In:
Lecture Notes in Electrical Engineering. Volume 554. Cham: Springer, 2020. s. 162-174. ISBN 978-3-030-14906-2.
[Detail] KRÖMER, Pavel, Jana NOWAKOVÁ, Martin HASAL a Jan PLATOŠ. Prediction of hourly vehicle flows by optimized evolutionary fuzzy rules. In:
Lecture Notes in Electrical Engineering. Volume 554. Cham: Springer, 2020. s. 313-324. ISBN 978-3-030-14906-2.
[Detail] FAIT, Michal a Marie DUŽÍ. Substitution rules with respect to a context. In:
Lecture Notes in Electrical Engineering. Volume 554. Cham: Springer, 2020. s. 55-66. ISBN 978-3-030-14906-2.
[Detail] SLÁČALA, Jaroslav, Hana ŠPAČKOVÁ, Martin MENŠÍK, Petra SVOBODOVÁ a Tomáš BARČÁK. Use of robotic manipulation systems in automation of forging processes. In:
METAL 2020 : 29th International Conference on Metallurgy and Materials : conference proceedings : May 20-22, 2020, Brno, Czech Republic, EU. Ostrava: Tanger, 2020. s. 1200-1204. ISBN 978-80-87294-97-0.
[Detail] RADVANSKÝ, Martin, Miloš KUDĚLKA a Martin RADVANSKÝ. Identification of Power Profiles for Small Home Photovoltaic Power Plant Based on Similarity Network. In:
Proceedings of the 2020 21st International Carpathian Control Conference, ICCC 2020. Piscataway: IEEE, 2020. s. nestránkováno. ISBN 978-1-72811-952-6.
[Detail] MENŠÍK, Marek, Adam ALBERT a Vojtěch PATSCHKA. Using FCA for seeking relevant information sources. In:
Recent Advances in Slavonic Natural Language Processing 2020. Brno: Tribun EU, 2020. s. 47-54. ISBN 978-80-263-1600-8.
[Detail] MACHÁČEK, Zdeněk, Vojtěch ŠOTOLA, Radek PETRÁŠ, Miroslav SCHNEIDER, Zdeněk MASNÝ, Adam IDZKOWSKI a Wojciech WALENDZIUK. Advanced Energy Harvesting from Heating for a Water Consumption Meter. In:
The 9th Innovations-Sustainability-Modernity-Openness Conference (ISMO’20) : proceedings : Bialystok, Poland, 20–21 May 2020. Basilej: MDPI Open Access Publishing, 2020. s. 1-4. ISBN 0-000-00000-0.
[Detail] ŠIMONÍK, Petr, Tomáš MROVĚC, Samuel PRZECZEK, Tomáš HARACH a Tomáš KLEIN. Brake by Wire for Remotely Controlled Vehicle. In:
2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). Piscataway: IEEE, 2019. s. 1-4. ISBN 978-1-5386-4192-7.
[Detail] BHATTACHARYYA, Siddhartha, Václav SNÁŠEL, Alokananda DEY, Sandip DEY a Debanjan KONAR. Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. In:
2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Piscataway: IEEE, 2019. s. 1869-1874. ISBN 978-1-5386-5314-2.
[Detail] MROVĚC, Tomáš, Petr ŠIMONÍK, Ondřej WOLF a Martin KOŘENÝ. Control Algorithms and Application Software of Electric Drive for Remotely Controlled Vehicle. In:
2019 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2019). NEW YORK: IEEE, 2019. s. 102-106. ISBN 978-1-72813-910-4.
[Detail] MENŠÍK, Marek, Marie DUŽÍ, Adam ALBERT, Vojtěch PATSCHKA a Miroslav PAJR. Seeking Relevant Information Sources. In:
2019 IEEE 15th International Scientific Conference on Informatics : Informatics 2019 : November 20-22, 2019, Poprad, Slovakia : proceedings. Piscataway: IEEE, 2019. s. 271-276. ISBN 978-1-72813-178-8.
[Detail] TOMASZEK, Lukáš a Ivan ZELINKA. On the Evolutionary Neural Network Creation Using Native Visibility Graph. In:
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: IEEE, 2019. s. 1494-1501. ISBN 978-1-72812-153-6.
[Detail] KRÖMER, Pavel, Jan JANOUŠEK a Jan PLATOŠ. Random Key Self-Organizing Migrating Algorithm for Permutation Problems. In:
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: IEEE, 2019. s. 2878-2885. ISBN 978-1-72812-153-6.
[Detail] TOMASZEK, Lukáš a Mohamed CHADLI. On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm. In:
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: IEEE, 2019. s. 2886-2893. ISBN 978-1-72812-153-6.
[Detail] GAJDOŠ, Petr, Marek BĚHÁLEK, Jan JANOUŠEK a Pavel KRÖMER. QDSOMA: Towards the Utilization of Quantum Computing within SOMA. In:
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: IEEE, 2019. s. 2900-2907. ISBN 978-1-72812-153-6.
[Detail] BARGHI JOND, Hossein a Jan PLATOŠ. A Disturbance Activation Approach to Collision Avoidance Autonomous Driving. In:
5th Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2019. Piscataway: IEEE, 2019. s. nestránkováno. ISBN 978-1-72815-350-6.
[Detail] HUYNH, T., Ivan ZELINKA, X.H. PHAM a H.D. NGUYEN. Some measures to detect the influencer on social network based on information propagation. In:
ACM International Conference Proceeding Series 2019. New York: Association for Computing Machinery, 2019. s. neuvedeno. ISBN 978-1-4503-6190-3.
[Detail] DIEP, Quoc Bao, Ivan ZELINKA a Roman SENKERIK. An Algorithm for Swarm Robot to Avoid Multiple Dynamic Obstacles and to Catch the Moving Target. In:
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2019, PT II. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2019. s. 666-675. ISBN 978-3-030-20915-5.
[Detail] SVATOŇ, Václav, Jan MARTINOVIČ, Kateřina SLANINOVÁ a Václav SNÁŠEL. Robot Soccer Strategy Reduction by Representatives. In:
Advances in Intelligent Systems and Computing. Volume 839. Cham: Springer, 2019. s. 385-400. ISBN 978-981-13-1273-1.
[Detail] LE, Van Vang a Václav SNÁŠEL. Community detection in online social network using graph embedding and hierarchical clustering. In:
Advances in Intelligent Systems and Computing. Volume 874. Basilej: Springer, 2019. s. 263-272. ISBN 978-3-030-01817-7.
[Detail] SAM, E., Sebastian BASTERRECH a Pavel KRÖMER. Analysis of the dynamics of the echo state network model using recurrence plot. In:
Advances in Intelligent Systems and Computing. Volume 874. Basilej: Springer, 2019. s. 353-361. ISBN 978-3-030-01817-7.
[Detail] KONG, Lingping a Václav SNÁŠEL. A Strategy of Deploying Constant Number Relay Node for Wireless Sensor Network. In:
Advances in Intelligent Systems and Computing. Volume 891. Cham: Springer, 2019. s. 155-161. ISBN 978-3-030-03765-9.
[Detail] DEY, A., Siddhartha BHATTACHARYYA, S. DEY, Jan PLATOŠ a Václav SNÁŠEL. Quantum-Inspired Bat Optimization Algorithm for Automatic Clustering of Grayscale Images. In:
Advances in Intelligent Systems and Computing. Volume 922. Singapur: Springer, 2019. s. 89-101. ISBN 978-981-13-6782-3.
[Detail] MESSNARZ, Richard, Georg MACHER, Jakub ŠTOLFA a Svatopluk ŠTOLFA. Highly Autonomous Vehicle (System) Design Patterns - Achieving Fail Operational and High Level of Safety and Security. In:
Communications in Computer and Information Science. Volume 1060. Cham: Springer, 2019. s. 465-477. ISBN 978-3-030-28004-8.
[Detail] DIEP, Quoc Bao, Ivan ZELINKA, S. DAS a R. SENKERIK. SOMA T3A for Solving the 100-Digit Challenge. In:
Communications in Computer and Information Science. Volume 1092. Cham: Springer, 2019. s. 155-165. ISBN 978-3-030-37837-0.
[Detail] DUŽÍ, Marie a Michal FAIT. Type Checking Algorithm for the TIL-Script Language. In:
Frontiers in Artificial Intelligence and Applications. Volume 312. Amsterdam: IOS Press, 2019. s. 219-236. ISBN 978-1-61499-932-4.
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Frontiers in Artificial Intelligence and Applications. Volume 312. Amsterdam: IOS Press, 2019. s. 237-255. ISBN 978-1-61499-932-4.
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Frontiers in Artificial Intelligence and Applications. Volume 321. Amsterdam: IOS Press, 2019. s. 344-362. ISBN 978-1-64368-044-6.
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Frontiers in Artificial Intelligence and Applications. Volume 321. Amsterdam: IOS Press, 2019. s. 501-518. ISBN 978-1-64368-044-6.
[Detail] PAUL, D., S. DAS, S. CHAKRABORTY a Ivan ZELINKA. On the Non-convergence of Differential Evolution: Some generalized adversarial conditions and a remedy. In:
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2019. s. 265-266. ISBN 978-1-4503-6748-6.
[Detail] DIEP, Quoc Bao, Ivan ZELINKA a S. DAS. Self-organizing migrating algorithm for the 100-digit challenge. In:
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2019. s. 3-4. ISBN 978-1-4503-6748-6.
[Detail] BARGHI JOND, Hossein a Jan PLATOŠ. A Fast Trajectory Tracking Control Design for Autonomous Driving. In:
ICRoM 2019 - 7th International Conference on Robotics and Mechatronics. Piscataway: IEEE, 2019. s. 1-6. ISBN 978-1-72816-604-9.
[Detail] SKANDEROVÁ, Lenka. Influence of control parameters adaptation on spread of positive genomes within populations of selected differential evolution algorithms. In:
IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA. Piscataway: IEEE, 2019. s. 1-8. ISBN 978-1-5386-2726-6.
[Detail] ŠOUSTEK, Lukáš, Radek MARTINEK, Radim KUNČICKÝ, Lukáš DANYS a Jan BAROŠ. Possibilities of intelligent camera system based on virtual instrumentation: Technology of Broadband(LIGHT) for "Smart City" concept. In:
IFAC-PapersOnLine. Volume 48, Issue 4. London: IFAC-PapersOnLine, 2019. s. 170-174. ISBN 0-000-00000-0.
[Detail] NEVRLÝ, Václav, Petr BITALA, Vít KLEČKA, Michal VAŠINEK, Zdeněk ZELINGER, Jan SUCHÁNEK, Michal DOSTÁL a Václav VÁLEK. Analysis of Wavelength Modulation Spectra for Determination of OH Radical Concentration in an Atmospheric Pressure Laminar Premixed Flames. In:
Journal of Physics: Conference Series. Volume 1298. Bristol: IOP Publishing, 2019. s. 1-3. ISBN 978-1-5108-9571-3.
[Detail] FUSEK, Radovan a Eduard SOJKA. Iris Center Localization Using Geodesic Distance and CNN. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer, 2019. s. 76-85. ISBN 978-3-030-31320-3.
[Detail] SENKERIK, Roman, Adam VIKTORIN, Tomas KADAVY, Michal PLUHACEK, Anezka KAZIKOVA, Quoc Bao DIEP a Ivan ZELINKA. Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11509. Cham: Springer, 2019. s. 506-518. ISBN 978-3-030-20914-8.
[Detail] BASTERRECH, Sebastian. Pattern Matching in Sequential Data Using Reservoir Projections. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11554. Cham: Springer, 2019. s. 173-183. ISBN 978-3-030-22795-1.
[Detail] FUSEK, Radovan, Eduard SOJKA a Michael HOLUŠA. Pupil Center Localization Using SOMA and CNN. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11844. Cham: Springer, 2019. s. 444-453. ISBN 978-3-030-33719-3.
[Detail] MORAVEC, Pavel, Jan KOŽUSZNIK, Michal KRUMNIKL a Jana KLÍMOVÁ. Performance of user data collections uploads to HPCaaS infrastructure. In:
Lecture Notes in Computer Science. Volume 11703. Cham: Springer, 2019. s. 359-369. ISBN 978-3-030-28956-0.
[Detail] KUNČICKÝ, Radim, Jakub KOLAŘÍK, Lukáš ŠOUSTEK, Lumír KUNČICKÝ a Radek MARTINEK. IoT approach to street lighting control using MQTT protocol. In:
Lecture Notes in Electrical Engineering. Volume 554. Cham: Springer, 2019. s. 429-438. ISBN 978-3-030-14906-2.
[Detail] BOUOUDEN, S., I. BOULKAIBET, M. CHADLI a Ivan ZELINKA. Fuzzy model predictive control for discrete-time system with input delays. In:
Lecture Notes in Electrical Engineering. Volume 554. Cham: Springer, 2019. s. 67-77. ISBN 978-3-030-14906-2.
[Detail] TOMASZEK, Lukáš, Ivan ZELINKA a Mohhamed CHADLI. On the leader selection in the self-organizing migrating algorithm. In:
Mendel. Brno: Brno University of Technology, 2019. s. 171-178. ISBN 978-80-214-4120-0.
[Detail] ZELINKA, Ivan, O ZMESKAL, L. WINDSOR a Z. CAI. Unconventional methods in voynich manuscript analysis. In:
Mendel. Volume 25. Brno: Brno University of Technology, 2019. s. 1-14. ISBN 0-000-00000-0.
[Detail] DIEP, Quoc Bao, Ivan ZELINKA a S. DAS. Pareto-based self-organizing migrating algorithm. In:
Mendel. Volume 25. Brno: Brno University of Technology, 2019. s. 111-120. ISBN 0-000-00000-0.
[Detail] DIEP, Quoc Bao a Ivan ZELINKA. Obstacle avoidance for swarm robot based on self-organizing migrating algorithm. In:
Procedia Computer Science. Volume 150. Amsterdam: Elsevier, 2019. s. 425-432. ISBN 0-000-00000-0.
[Detail] BLAŽEK, Vojtěch, Jan FULNEČEK, Michal PETRUŽELA, Lukáš PROKOP, Stanislav MIŠÁK a David SEIDL. Smart crash barrier based on off-grid technology. In:
Proceedings of the 10th International Scientific Symposium on Electrical Power Engineering, ELEKTROENERGETIKA 2019. Košice: Technical University of Košice, 2019. s. 557-561. ISBN 978-80-553-3324-3.
[Detail] UHER, Vojtěch, Petr GAJDOŠ a Václav SNÁŠEL. A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids. In:
Proceedings of the 11th International Conference on Computer Modeling and Simulation. New York: Association for Computing Machinery, 2019. s. 151-156. ISBN 978-1-4503-6619-9.
[Detail] SIKORA, Tadeusz, Lukáš PROKOP, Jan FULNEČEK a Tomáš VANTUCH. Industrial Uniterruptible Power Supply Batteries Monitoring Augmentation by Infrared Camera. In:
Proceedings of the 2019 20th International Scientific Conference on Electric Power Engineering, EPE 2019. Piscataway: IEEE, 2019. s. 94-97. ISBN 978-1-72811-333-3.
[Detail] MIŠÁK, Stanislav, Jan FULNEČEK, Tomáš VANTUCH a Lukáš PROKOP. Towards the character and challenges of partial discharge pattern data measured on medium voltage overhead lines. In:
Proceedings of the 2019 20th International Scientific Conference on Electric Power Engineering, EPE 2019. Piscataway: IEEE, 2019. s. nestránkováno. ISBN 978-1-72811-333-3.
[Detail] BATIHA, Tarek, Michal PRAUZEK a Pavel KRÖMER. Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks. In:
Smart Innovation, Systems and Technologies. Volume 142. Singapur: Springer, 2019. s. 323-333. ISBN 978-981-13-8310-6.
[Detail] ZELINKA, Ivan a R. ŠENKEŘÍK. On relation between swarm and evolutionary dynamics and complex networks. In:
Springer Proceedings in Complexity. Volume 1. Cham: Springer, 2019. s. 245-260. ISBN 978-3-030-00074-5.
[Detail] DUŽÍ, Marie, Michal FAIT a Marek MENŠÍK. Adjustment of goal-driven resolution for natural language processing in TIL. In:
Thirteenth workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019 : Karlova Studánka, Czech Republic, December 6-8, 2019 : proceedings. Brno: Tribun EU, 2019. s. 71-82. ISBN 978-80-263-1530-8.
[Detail] HASAL, Martin, Jana NOWAKOVÁ a Jan PLATOŠ. Three-dimensional graph drawing by Kamada-Kawai method with Barzilai-Borwein method. In:
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Piscataway: IEEE, 2018. s. 1-7. ISBN 978-1-5386-2725-9.
[Detail] FASUGA, Radoslav, Katarína SEIFRIEDOVÁ, Eduard KUBANDA, Vaclav PILIK, Jiri RYDEL a Martin KUCHARIK. Gloffer - Product catalogs building and products comparing in product catalogs, taking into account the multi-currency and multi-linguality of indexed content. In:
2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA). NEW YORK: IEEE, 2018. s. 157-162. ISBN 978-1-5386-7914-2.
[Detail] HOLUŠA, Michael a Eduard SOJKA. On the Stability of the k-Max Distance to the Position of Seeds. In:
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). NEW YORK: IEEE, 2018. s. 261-265. ISBN 978-1-4799-7061-2.
[Detail] DASHDAMIROV, Hikmat, Sebastian BASTERRECH a Pavel KRÖMER. A Nature-inspired System for Mental State Recognition. In:
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Piscataway: IEEE, 2018. s. 1161-1168. ISBN 978-1-5090-6017-7.
[Detail] KRÖMER, Pavel a Jana NOWAKOVÁ. Guided Genetic Algorithm for Information Diffusion Problems. In:
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Piscataway: IEEE, 2018. s. 1722-1729. ISBN 978-1-5090-6017-7.
[Detail] PLUHACEK, Michal, Roman SENKERIK, Adam VIKTORIN, Tomas KADAVY a Ivan ZELINKA. Chaos Driven PSO with Attractive Search Space Border Points. In:
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. Vienna: IEEE, 2018. s. 1147-1152. ISBN 978-1-5090-6017-7.
[Detail] CIMA, Vojtěch, Stanislav BÖHM, Jan MARTINOVIČ, Jiří DVORSKÝ, Thomas ASHBY a Vladimir CHUPAKHIN. Hyperloom Possibilities for Executing Scientific Workflows on the Cloud. In:
Advances in Intelligent Systems and Computing. Volume 611. Cham: Springer, 2018. s. 397-406. ISBN 978-3-319-61565-3.
[Detail] NGUYEN, Thanh-Long, Bay VO, Bao HUYNH, Václav SNÁŠEL a Loan T. T. NGUYEN. Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases. In:
Advances in Intelligent Systems and Computing. Volume 655. Cham: Springer, 2018. s. 195-204. ISBN 978-3-319-67219-9.
[Detail] PRÍLEPOK, Michal a Tomáš VANTUCH. Partial discharge pattern classification based on fuzzy signatures. In:
Advances in Intelligent Systems and Computing. Volume 679. Cham: Springer, 2018. s. 254-264. ISBN 978-3-319-68320-1.
[Detail] VANTUCH, Tomáš, Marek LAMPART a Michal PRÍLEPOK. An examination of an entropy based features on partial discharge pattern. In:
Advances in Intelligent Systems and Computing. Volume 679. Cham: Springer, 2018. s. 265-275. ISBN 978-3-319-68320-1.
[Detail] GRUNT, Ondřej, Jan PLUCAR, Markéta ŠTÁKOVÁ, Tomáš JANEČKO a Ivan ZELINKA. Modeling of marketing processes using markov decision process approach. In:
Advances in Intelligent Systems and Computing. Volume 679. Cham: Springer, 2018. s. 468. ISBN 978-3-319-68320-1.
[Detail] OCHODKOVÁ, Eliška, Miloš KUDĚLKA a Dávid IVAN. Sampling as a Method of Comparing Real and Generated Networks. In:
Advances in Intelligent Systems and Computing. Volume 682. Cham: Springer Verlag, 2018. s. 117-127. ISBN 978-3-319-68526-7.
[Detail] RADVANSKÝ, Martin, Miloš KUDĚLKA, E. KRIEGOVA a R. FILLEROVA. Decision Support System in Orthopedics Using Methodology Based on a Combination of Machine Learning Methods. In:
Advances in Intelligent Systems and Computing. Volume 682. Cham: Springer Verlag, 2018. s. 193-203. ISBN 978-3-319-68526-7.
[Detail] MARTINEK, Radek, Radana KAHÁNKOVÁ, Jan NEDOMA, Marcel FAJKUS, H NAZERAN a Jana NOWAKOVÁ. Adaptive Signal Processing of Fetal PCG Recorded by Interferometric Sensor. In:
Advances in Intelligent Systems and Computing. Volume 682. Cham: Springer Verlag, 2018. s. 235-243. ISBN 978-3-319-68526-7.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. Evaluation of Traveling Salesman Problem Instance Hardness by Clustering. In:
Advances in Intelligent Systems and Computing. Volume 682. Cham: Springer Verlag, 2018. s. 379-387. ISBN 978-3-319-68526-7.
[Detail] DEY, A., S. DEY, Siddhartha BHATTACHARYYA, Václav SNÁŠEL a A.E. HASSANIEN. Simulated Annealing Based Quantum Inspired Automatic Clustering Technique. In:
Advances in Intelligent Systems and Computing. Volume 723. Cham: Springer, 2018. s. 73-81. ISBN 978-3-319-74689-0.
[Detail] JEŽOWICZ, Tomáš, Petr GAJDOŠ, Vojtěch UHER, Stanislav MIŠÁK a Václav SNÁŠEL. Improving the speed and quality of extreme learning machine by conjugate gradient method. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 128-137. ISBN 978-3-319-60833-4.
[Detail] ŠTRBOVÁ, Kristína, Radoslav ŠTRBA, Helena RACLAVSKÁ a Jiří BÍLEK. Analysis of air pollution in vertical profile using self-organizing maps. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 159-168. ISBN 978-3-319-60833-4.
[Detail] HOUSSEIN, E.H., M. KILANY, A.E. HASSANIEN a Václav SNÁŠEL. A two-stage feature extraction approach for ECG signals. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 299-310. ISBN 978-3-319-60833-4.
[Detail] PRÍLEPOK, Michal, Ibrahim Salem JAHAN a Václav SNÁŠEL. Detection of finger flexions based on decision tree. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 57-67. ISBN 978-3-319-60833-4.
[Detail] ŠTRBA, Radoslav, Kristína ŠTRBOVÁ, Ivo VONDRÁK, David JEŽEK a Svatopluk ŠTOLFA. Exploratory data analysis of software requirements using statistics and kohonen's self-organizing map. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 77-86. ISBN 978-3-319-60833-4.
[Detail] ŠTRBA, Radoslav, Ivo VONDRÁK, David JEŽEK a Svatopluk ŠTOLFA. Method for Estimation of Software Requirements Using Neural Network Based Classification Technique. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2018. s. 87-96. ISBN 978-3-319-60833-4.
[Detail] LINDITSCH, C., C. FUSSENECKER, J. NIEMANN, R. MESSNARZ, E. PENZ, A. CASEY a Jakub ŠTOLFA. ELIC - Building the New Generation of Engineers for Automotive in Europe. In:
Communications in Computer and Information Science. Volume 896. Cham: Springer, 2018. s. 654-665. ISBN 978-3-319-97924-3.
[Detail] VAŠINEK, Michal a Jan PLATOŠ. LZ77 like lossy transformation of quality scores. In:
Data Compression Conference Proceedings. Volume 2018-March. Piscataway: IEEE, 2018. s. 429-429. ISBN 978-1-5386-4883-4.
[Detail] DUŽÍ, Marie. Logic of Dynamic Discourse; Anaphora Resolution. In:
Frontiers in Artificial Intelligence and Applications. Volume 301. Amsterodam: IOS Press, 2018. s. 263-279. ISBN 978-1-61499-833-4.
[Detail] MENŠÍK, Marek, Marie DUŽÍ a Jakub KERMASCHEK. The role of beta conversion in functional programming. In:
Frontiers in Artificial Intelligence and Applications. Volume 301. Amsterodam: IOS Press, 2018. s. 280-298. ISBN 978-1-61499-833-4.
[Detail] KRÖMER, Pavel, Martin HASAL, Jana NOWAKOVÁ, Jana HECKENBERGEROVA a Petr MUSÍLEK. Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions. In:
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. Piscataway: IEEE, 2018. s. 1285-1290. ISBN 978-1-72810-323-5.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Miloš KUDĚLKA. Network measures and evaluation of traveling salesman instance hardness. In:
IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA. Piscataway: IEEE, 2018. s. 1-7. ISBN 978-1-5386-2726-6.
[Detail] VANTUCH, Tomáš, A.G. VIDAL, A.P. RAMALLO-GONZALEZ, A.F. SKARMETA a Stanislav MIŠÁK. Machine learning based electric load forecasting for short and long-term period. In:
IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings. Piscataway: IEEE, 2018. s. 511-516. ISBN 978-1-4673-9944-9.
[Detail] SAOUD, Zakaria a Jan PLATOŠ. Community Detection in Bibsonomy Using Data Clustering. In:
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, PT I. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2018. s. 149-158. ISBN 978-3-319-67220-5.
[Detail] JANČAR, Petr, Petr OSIČKA a Zdeněk SAWA. Expspace-complete variant of countdown games, and simulation on succinct one-counter nets. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11123. Cham: Springer, 2018. s. 59-74. ISBN 978-3-030-00249-7.
[Detail] SIMKANIČ, Radek. Matrix Descriptor of Changes (MDC): Activity Recognition Based on Skeleton. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11182. Cham: Springer, 2018. s. 14-25. ISBN 978-3-030-01448-3.
[Detail] FUSEK, Radovan. Pupil localization using geodesic distance. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11241. Cham: Springer, 2018. s. 433-444. ISBN 978-3-030-03800-7.
[Detail] KRÖMER, Pavel, Jana NOWAKOVÁ a Martin HASAL. Towards a new evolutionary algorithm for the minimum tollbooth problem. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11280. Cham: Springer, 2018. s. 116–125. ISBN 978-3-030-04647-7.
[Detail] KOJECKÝ, Lumír a Ivan ZELINKA. Evolutionary design and training of artificial neural networks. In:
Lecture Notes in Computer Science. Volume 10841. Cham: Springer, 2018. s. 427-437. ISBN 978-3-319-91252-3.
[Detail] ŠENKEŘÍK, Roman, A VIKTORIN, M. PLUHACEK, T. KADAVY a Ivan ZELINKA. How unconventional chaotic pseudo-random generators influence population diversity in differential evolution. In:
Lecture Notes in Computer Science. Volume 10841. Cham: Springer, 2018. s. 524-535. ISBN 978-3-319-91252-3.
[Detail] VANTUCH, Tomáš, Ivan ZELINKA, A. ADAMATZKY a N. MARWAN. Phase transitions in swarm optimization algorithms. In:
Lecture Notes in Computer Science. Volume 10867. Cham: Springer, 2018. s. 204-216. ISBN 978-3-319-92434-2.
[Detail] KRUMNIKL, Michal, Petr BAINAR, Jana KLÍMOVÁ, Jan KOŽUSZNIK, Pavel MORAVEC, Václav SVATOŇ a Pavel TOMANČÁK. SciJava interface for parallel execution in the ImageJ ecosystem. In:
Lecture Notes in Computer Science. Volume 11127. Cham: Springer, 2018. s. 288-299. ISBN 978-3-319-99953-1.
[Detail] VOJÁČEK, Lukáš, Pavla DRÁŽDILOVÁ a Jiří DVORSKÝ. Growing neural gas based on data density. In:
Lecture Notes in Computer Science. Volume 11127. Cham: Springer, 2018. s. 314-323. ISBN 978-3-319-99953-1.
[Detail] PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN, Tomáš KADAVÝ a Ivan ZELINKA. A Review of Real-world Applications of Particle Swarm Optimization Algorithm. In:
Lecture Notes in Electrical Engineering. Volume 465. Cham: Springer, 2018. s. 115-122. ISBN 978-3-319-69813-7.
[Detail] ŠENKEŘÍK, Roman, Adam VIKTORIN, Michal PLUHÁČEK, Tomáš KADAVÝ a Ivan ZELINKA. Differential Evolution for Constrained Industrial Optimization. In:
Lecture Notes in Electrical Engineering. Volume 465. Cham: Springer, 2018. s. 123-132. ISBN 978-3-319-69813-7.
[Detail] JANEČKO, Tomáš, Ondřej GRUNT, Jan PLUCAR, Markéta ŠTÁKOVÁ a Ivan ZELINKA. Processing Big Data in Field of Marketing Models using Apache Spark. In:
Lecture Notes in Electrical Engineering. Volume 465. Cham: Springer, 2018. s. 49-58. ISBN 978-3-319-69813-7.
[Detail] PRÍLEPOK, Michal. Wind Speed Prediction with Genetic Algorithm. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 8. Cham: Springer, 2018. s. 326-335. ISBN 978-3-319-65635-9.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Václav SNÁŠEL. Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 8. Cham: Springer, 2018. s. 336-348. ISBN 978-3-319-65635-9.
[Detail] PLATOŠ, Jan, Jana NOWAKOVÁ, Pavel KRÖMER a Václav SNÁŠEL. Space-Filling Curves based on Residue Number System. In:
Lecture Notes on Data Engineering and Communications Technologies. Volume 8. Cham: Springer, 2018. s. 53-61. ISBN 978-3-319-65635-9.
[Detail] ŠENKEŘÍK, Roman, Adam VIKTORIN, Ivan ZELINKA, Michal PLUHÁČEK, Tomáš KADAVÝ, Zuzana KOMÍNKOVÁ OPLATKOVÁ, Vikrant BHATEJA a Suresh Chandra SATAPATHY. Differential Evolution And Deterministic Chaotic Series: A Detailed Study. In:
Mendel. Volume 24. Brno: Brno University of Technology, 2018. s. 61-68. ISBN 0-000-00000-0.
[Detail] PAPADOPOULOS, P.K., M.G. KOZIRI, N. TZIRITAS, T. LOUKOPOULOS, I. ANAGNOSTOPOULOS, Petr ŠALOUN a David ANDREŠIČ. On the Evaluation of Coarse Grained Parallelism in AV1 Video Coding. In:
Proceedings - 13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018. Piscataway: IEEE, 2018. s. 55-59. ISBN 978-1-5386-8225-8.
[Detail] UHER, Vojtěch, Petr GAJDOŠ a Václav SNÁŠEL. Proposal of Effective Orthogonal and Hexagonal Hierarchical Structures for Disc Queries. In:
Proceedings - 2018 3rd International Conference on Control, Robotics and Cybernetics, CRC 2018. Piscataway: IEEE, 2018. s. 20-26. ISBN 978-1-5386-7738-4.
[Detail] CHAKRABORTY, Anit, Sayandip DUTTA, Siddhartha BHATTACHARYYA, Jan PLATOŠ a Václav SNÁŠEL. Reinforcement Learning inspired Deep Learned Compositional Model for Decision Making in Tracking. In:
Proceedings - 2018 4th IEEE International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2018. Vienna: IEEE, 2018. s. 158-163. ISBN 978-1-5386-7638-7.
[Detail] MUKHERJEE, Anupam, Sourav DE, Siddhartha BHATTACHARYYA a Jan PLATOŠ. Chicago Crime Data Analysis Using PIG in Hadoop. In:
Proceedings - 2018 4th IEEE International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2018. Vienna: IEEE, 2018. s. 242-247. ISBN 978-1-5386-7638-7.
[Detail] JAHAN, Ibrahim Salem, Michal PRÍLEPOK, Stanislav MIŠÁK a Václav SNÁŠEL. Intelligent System for Power Load Forecasting in Off-grid Platform. In:
Proceedings of the 2018 19th International Scientific Conference on Electric Power Engineering (EPE). New York: IEEE, 2018. s. nestránkováno. ISBN 978-1-5386-4612-0.
[Detail] MENŠÍK, Marek, Jakub KERMASCHEK a Luděk CIENCIALA. Existential Generalization in TIL. In:
17th International Multidisciplinary Scientific GeoConference: SGEM 2017 : conference proceedings : 29 June-5 July, 2017, Albena, Bulgaria. Volume 17. Issue 21. Sofia: STEF92 Technology Ltd., 2017. s. 311-318. ISBN 978-619-7408-01-0.
[Detail] MENŠÍK, Marek, Pavla DRÁŽDILOVÁ a Jakub KERMASCHEK. Students' Behavior Patterns in LMS eLogika Detected by FCA. In:
17th International Multidisciplinary Scientific GeoConference: SGEM 2017 : conference proceedings : 29 June-5 July, 2017, Albena, Bulgaria. Volume 17. Issue 21. Sofia: STEF92 Technology Ltd., 2017. s. 617-624. ISBN 978-619-7408-01-0.
[Detail] VANTUCH, Tomáš, Ivan ZELINKA a P. VASANT. Market prices trend forecasting supported by Elliott Wave's theory. In:
1st EAI International Conference on Computer Science and Engineering (COMPSE 2016) : conference proceedings : November 11 - 12, 2016, Penang, Malaysia. Gent: European Alliance for Innovation, 2017. s. nestránkováno. ISBN 978-1-63190-136-2.
[Detail] UHER, Vojtěch, Petr GAJDOŠ a Václav SNÁŠEL. Towards the gosper space filling curve implementation. In:
2017 3rd IEEE International Conference on Cybernetics, CYBCONF 2017 - Proceedings. Piscataway: IEEE, 2017. s. 100-108. ISBN 978-1-5386-2201-8.
[Detail] UHER, Vojtěch, Petr GAJDOŠ a Václav SNÁŠEL. Searching of circular neighborhoods in the square and hexagonal regular grids. In:
2017 3rd IEEE International Conference on Cybernetics, CYBCONF 2017 - Proceedings. Piscataway: IEEE, 2017. s. 121-129. ISBN 978-1-5386-2201-8.
[Detail] KRÖMER, Pavel, Miloš KUDĚLKA, Roman ŠENKEŘÍK a Michal PLUHÁČEK. Differential evolution with preferential interaction network. In:
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Piscataway: IEEE, 2017. s. 1916-1923. ISBN 978-1-5090-4601-0.
[Detail] MUSÍLEK, Petr, Pavel KRÖMER, Rodrigo MARTINS a Holger C. HESSE. Optimal energy management of residential PV/HESS using evolutionary fuzzy control. In:
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Piscataway: IEEE, 2017. s. 2094-2101. ISBN 978-1-5090-4601-0.
[Detail] MARTINS, R., Pavel KRÖMER a Petr MUSÍLEK. LP-based predictive energy management system for residential PV/BESS. In:
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Piscataway: IEEE, 2017. s. 3727-3732. ISBN 978-1-5386-1645-1.
[Detail] SVATOŇ, Václav, Jan MARTINOVIČ, Kateřina SLANINOVÁ a Václav SNÁŠEL. Robot Soccer Strategy Adaptation. In:
29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. Rende: Caltek s.r.l., 2017. s. 399-408. ISBN 978-1-5108-4765-1.
[Detail] DEY, Sandip, Siddhartha BHATTACHARYYA, Václav SNÁŠEL, A. DEY a S SARKAR. PSO and DE based Novel Quantum Inspired Automatic Clustering Techniques. In:
3rd International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) : proceedings : November 3-5, 2017, Calcutta, India. Piscataway: IEEE, 2017. s. 285-290. ISBN 978-1-5386-1931-5.
[Detail] KROUPOVÁ, Ivana, Petr LICHÝ, Filip RADKOVSKÝ, Lačezar LIČEV, Ivo LÁNA a Kamil SOUČEK. Optimalizace slévárenských postupů výroby kovových pěn. In:
54. slévárenské dny : 7.-8. listopadu 2017, Brno : sborník přednášek. Sekce neželezných kovů a slitin, ekologie. Brno: Česká slévárenská společnost, 2017. s. 40-44. ISBN 978-80-02-02758-4.
[Detail] SENKERIK, Roman, Ivan ZELINKA, Michal PLUHACEK a Adam VIKTORIN. Comparison of Swarm and Evolutionary Based Algorithms for the Stabilization of Chaotic Oscillations. In:
AETA 2016: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES: THEORY AND APPLICATION. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2017. s. 63-73. ISBN 978-3-319-50903-7.
[Detail] TOMASZEK, Lukáš a Ivan ZELINKA. Investigation of differential evolution using temporal centralities. In:
AIP Conference Proceedings. Volume 1863. Melville: American Institute of Physics, 2017. s. 070030. ISBN 978-0-7354-1538-6.
[Detail] VANTUCH, Tomáš a Ivan ZELINKA. Covered conductors fault behavior studied by features of complex networks. In:
AIP Conference Proceedings. Volume 1863. Melville: American Institute of Physics, 2017. s. 1-5. ISBN 978-0-7354-1538-6.
[Detail] ZELINKA, Ivan a Michal BUKÁČEK. Gold rush - A swarm dynamics in games. In:
AIP Conference Proceedings. Volume 1863. Melville: American Institute of Physics, 2017. s. 1-6. ISBN 978-0-7354-1538-6.
[Detail] DUŽÍ, Marie, Michal FAIT a Marek MENŠÍK. Context recognition for a hyperintensional inference machine. In:
AIP Conference Proceedings. Volume 1863. Melville: American Institute of Physics, 2017. s. nestránkováno. ISBN 978-0-7354-1538-6.
[Detail] TRI, N.C, T VAN HOAI, H.N. DUONG, N.T. TRONG, V. VAN VINH a Václav SNÁŠEL. A Novel Framework Based on Deep Learning and Unmanned Aerial Vehicles to Assess the Quality of Rice Fields. In:
Advances in Intelligent Systems and Computing. Volume 538. Cham: Springer Verlag, 2017. s. 84-93. ISBN 978-3-319-49072-4.
[Detail] CHERIF, S., N. BAKLOUTI, A. ALIMI a Václav SNÁŠEL. Linguistic Representation by Fuzzy Formal Concept and Interval Type-2 Feature Selection. In:
Advances in Intelligent Systems and Computing. Volume 557. Berlin: Springer, 2017. s. 1071-1081. ISBN 978-3-319-53479-4.
[Detail] GOLASOWSKI, Martin, Jan MARTINOVIČ a Kateřina SLANINOVÁ. Comparison of K-means clustering initialization approaches with brute-force initialization. In:
Advances in Intelligent Systems and Computing. Volume 567. Singapur: Springer, 2017. s. 103-114. ISBN 978-981-10-3408-4.
[Detail] HANZELKA, Jiří, Robert SKOPAL, Kateřina SLANINOVÁ, Jan MARTINOVIČ a Jiří DVORSKÝ. Graph problems performance comparison using intel xeon and intel xeon-phi. In:
Advances in Intelligent Systems and Computing. Volume 567. Singapur: Springer, 2017. s. 73-83. ISBN 978-981-10-3408-4.
[Detail] HENDRYCH, Jakub, Radim KUNČICKÝ a Lačezar LIČEV. New approach to steganography detection via steganalysis framework. In:
Advances in Intelligent Systems and Computing. Volume 679. Cham: Springer, 2017. s. 1-8. ISBN 978-3-319-68320-1.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Wind speed NWP local revisions using a polynomial decomposition of the general partial differential equation. In:
Advances in Intelligent Systems and Computing. Volume 679. Cham: Springer, 2017. s. 45-55. ISBN 978-3-319-68320-1.
[Detail] LIČEV, Lačezar, Jakub HENDRYCH, Radim KUNČICKÝ, Kateřina. KOVÁŘOVÁ a Ivana KUMPOVÁ. EVALUATION OF SANDSTONE INTERNAL STRUCTURE WITH APPLICATION OF MICRO-CT AND FOTOM SYSTEM. In:
Advances in Intelligent Systems and Computing. Volume 680. Cham: Springer, 2017. s. 332-339. ISBN 978-3-319-68323-2.
[Detail] HANZELKA, Jiří a Jiří DVORSKÝ. Flexible neural trees—Parallel learning on HPC. In:
Advances in intelligent systems and computing. Volume 568. Singapur: Springer, 2017. s. 67-77. ISBN 978-981-10-3390-2.
[Detail] ŠTOLFA, Svatopluk, Jakub ŠTOLFA, Miran RODIC, Mitrja TRUNTIC, Christian KREINER a Richard MESSNARZ. Automotive quality universities – AQU – integration of modular content into the higher education studies. In:
Communications in Computer and Information Science. Volume 748. Cham: Springer Verlag, 2017. s. 453-467. ISBN 978-3-319-64217-8.
[Detail] ŠTRBA, Radoslav, Svatopluk ŠTOLFA, Jakub ŠTOLFA, Ivo VONDRÁK a Václav SNÁŠEL. An Application of Neural Network in Method for Use Case Based Effort Estimation. In:
Frontiers in Artificial Intelligence and Applications, vol. 292. Amsterodam: IOS Press, 2017. s. 231-248. ISBN 978-1-61499-719-1.
[Detail] DUŽÍ, Marie a Marek MENŠÍK. Logic of Inferable Knowledge. In:
Frontiers in Artificial Intelligence and Applications, vol. 292. Amsterodam: IOS Press, 2017. s. 405-425. ISBN 978-1-61499-719-1.
[Detail] LIČEV, Lačezar, Jakub HENDRYCH, Ivana KROUPOVÁ a Kamil SOUČEK. HODNOCENÍ VNITŘNÍ STRUKTURY MATERIÁLŮ S POUŽITÍM SYSTÉMU MICRO-CT A FOTOM. In:
Geodézie a Důlní měřictví 2017 : sborník anotací XXIV. mezinárodní konference SDMG : 18. – 20. října 2017 : Ostrava, Česko. Ostrava: Společnost důlních měřičů a geologů a IGDM, 2017. s. 1-5. ISBN 978-80-248-4112-0.
[Detail] FASUGA, Radoslav, Katarína REBROŠOVÁ, Eduard KUBANDA, Václav PILÍK, Jan MIČANIN, Jiří RÝDEL a Martin KUCHAŘÍK. Gloffer – Searching implementation in sales portals and marketing strategies creation. In:
ICETA 2017 - 15th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings. Piscataway: IEEE, 2017. s. 129-134. ISBN 978-1-5386-3296-3.
[Detail] NĚMEC, Martin, Radoslav FASUGA, Jan TRUBAČ a Jan KRATOCHVÍL. Using Virtual Reality in Education. In:
ICETA 2017 - 15th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings. Piscataway: IEEE, 2017. s. 331-336. ISBN 978-1-5386-3296-3.
[Detail] CHERIF, S, N BAKLOUTI, A.M. ALIMI a Václav SNÁŠEL. New Fuzzy Similarity Measures: from Intuitionistic to Type-2 Fuzzy Sets. In:
IEEE International Conference on Fuzzy Systems. Piscataway: IEEE, 2017. s. 1-6. ISBN 978-1-5090-6034-4.
[Detail] NOWAKOVÁ, Jana, Jan PLATOŠ a Martin HASAL. System identification acceleration and improvement with genetic programming usage. In:
IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA. Piscataway: IEEE, 2017. s. 1517-1523. ISBN 978-1-5386-2726-6.
[Detail] TOMASZEK, Lukáš a Ivan ZELINKA. On Static Control of Swarm Systems. In:
IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA. Piscataway: IEEE, 2017. s. 1856-1862. ISBN 978-1-5386-4058-6.
[Detail] MALČÍK, Martin, Petr ŠALOUN, David ANDREŠIČ a David NESPĚŠNÝ. Using eyetracking to analyse how flowcharts are understood. In:
Informatics 2017 : proceedings of IEEE 14th international scientific conference on informatics : November 14-16, 2017, Poprad, Slovak Republic. Danvers: IEEE, 2017. s. 394-399. ISBN 978-1-5386-0888-3.
[Detail] UHER, Vojtěch, Petr GAJDOŠ, Michal RADECKÝ a Václav SNÁŠEL. A proposal of hierarchical vertex clustering based on the Gosper curve. In:
Intelligent data analysis and applications: proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016. Cham: Springer, 2017. s. 632-637. ISBN 978-3-319-48498-3.
[Detail] MECA, Ondřej, Stanislav BÖHM, Marek BĚHÁLEK a Petr JANČAR. An Approach to Verification of MPI Applications Defined in a High-Level Model. In:
International Conference on Application of Concurrency to System Design. New York: IEEE, 2017. s. 55-64. ISBN 978-1-5090-2589-3.
[Detail] ŠENKEŘÍK, Roman, Ivan ZELINKA, Michal PLUHÁČEK a Adam VIKTORIN. Study on the development of complex network for evolutionary and swarm based algorithms. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10062. Cham: Springer, 2017. s. 151-161. ISBN 978-3-319-62427-3.
[Detail] JANČAR, Petr. Deciding structural liveness of Petri nets. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10139. Berlin: Springer, 2017. s. 91--102. ISBN 978-3-319-51962-3.
[Detail] DRÁŽDILOVÁ, Pavla, Jan KONEČNÝ a Miloš KUDĚLKA. Chain of Influencers: Multipartite Intra-community Ranking. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10392. Cham: Springer, 2017. s. 603-614. ISBN 978-3-319-62388-7.
[Detail] KRÖMER, Pavel a Jana NOWAKOVÁ. Guided genetic algorithm for the influence maximization problem. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10392. Cham: Springer, 2017. s. 630-641. ISBN 978-3-319-62388-7.
[Detail] OCHODKOVÁ, Eliška, Šárka ZEHNALOVÁ a Miloš KUDĚLKA. Graph construction based on local representativeness. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10392. Cham: Springer, 2017. s. 654-665. ISBN 978-3-319-62388-7.
[Detail] MARŠÍK, L., Martin RUSEK, Kateřina SLANINOVÁ, Jan MARTINOVIČ a J. POKORNÝ. Evaluation of chord and chroma features and dynamic time warping scores on cover song identification task. In:
Lecture Notes in Computer Science. Volume 10244. Cham: Springer, 2017. s. 205-217. ISBN 978-3-319-59104-9.
[Detail] GOLASOWSKI, Martin, Joao BISPO, Jan MARTINOVIČ, Kateřina SLANINOVÁ a J.M.P. CARDOSO. Expressing and applying C++ code transformations for the HDF5 API through a DSL. In:
Lecture Notes in Computer Science. Volume 10244. Cham: Springer, 2017. s. 303-314. ISBN 978-3-319-59104-9.
[Detail] VOJÁČEK, Lukáš, Pavla DRÁŽDILOVÁ a Jiří DVORSKÝ. Optimalization of parallel GNG by neurons assigned to processes. In:
Lecture Notes in Computer Science. Volume 10244. Cham: Springer, 2017. s. 63-72. ISBN 978-3-319-59104-9.
[Detail] MORAVEC, Pavel a Michal KRUMNIKL. Developing countermeasures against cloning of identity tokens in legacy systems. In:
Lecture Notes in Computer Science. Volume 10244. Cham: Springer, 2017. s. 672-684. ISBN 978-3-319-59104-9.
[Detail] SENKERIK, R., A. VIKTORIN, M. PLUHACEK, T. KADAVY a Ivan ZELINKA. Differential evolution driven analytic programming for prediction. In:
Lecture Notes in Computer Science. Volume 10246. Cham: Springer, 2017. s. 676-687. ISBN 978-3-319-59059-2.
[Detail] HOLUŠA, Michael, Andrey SUKHANOV a Eduard SOJKA. Image segmentation based on solving the flow in the mesh with the connections of limited capacities. In:
Lecture Notes in Computer Science. Volume 10317. Cham: Springer, 2017. s. 163-170. ISBN 978-3-319-59875-8.
[Detail] PLUHACEK, M., A. VIKTORIN, R. SENKERIK, T KADAVY a Ivan ZELINKA. PSO with partial population restart based on complex network analysis. In:
Lecture Notes in Computer Science. Volume 10334. Cham: Springer, 2017. s. 183-192. ISBN 978-3-319-59649-5.
[Detail] SENKERIK, R., A. VIKTORIN, M. PLUHACEK, T. KADAVY a Ivan ZELINKA. Hybridization of analytic programming and differential evolution for time series prediction. In:
Lecture Notes in Computer Science. Volume 10334. Cham: Springer, 2017. s. 686-698. ISBN 978-3-319-59649-5.
[Detail] DAO, T .T., N. M TOAN, V. H. DUY a Ivan ZELINKA. Accelerate SOMA Using Parallel Processing in GPGPU. In:
Lecture Notes in Electrical Engineering. Volume 465. Cham: Springer, 2017. s. 53-62. ISBN 978-3-319-69813-7.
[Detail] BÖHM, Stanislav, S. GÖLLER, S. HALFON a P. HOFMAN. On Büchi one-counter automata. In:
Leibniz International Proceedings in Informatics, LIPIcs. Volume 66. Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017. s. 1-13. ISBN 978-3-95977-028-6.
[Detail] DUŽÍ, Marie a Pavel MATERNA. Validity and applicability of Leibniz’s law of substitution of identicals. In:
Logika Yearbook 2016. London: College Publications, 2017. s. 17-35. ISBN 978-1-84890-243-5.
[Detail] GRUNT, Ondřej, Jan PLUCAR, Markéta ŠTÁKOVÁ, Tomáš JANEČKO a Ivan ZELINKA. AN APPROACH TO CUSTOMER BEHAVIOR MODELING USING MARKOV DECISION PROCESS. In:
Mendel 2017 : 23rd international conference on soft computing : June 20-22, 2017, Brno, Czech Republic. Brno: Brno University of Technology, 2017. s. 141-148. ISBN 0-000-00000-0.
[Detail] KERMASCHEK, Jakub, Pavla DRÁŽDILOVÁ a Marek MENŠÍK. DATA SCALING BY DIFFERENTIAL EVOLUTION FOR FCA OVER DATA FROM LMS eLOGIKA. In:
Mendel 2017 : 23rd international conference on soft computing : June 20-22, 2017, Brno, Czech Republic. Brno: Brno University of Technology, 2017. s. 15-20. ISBN 0-000-00000-0.
[Detail] PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN, Tomáš KADAVÝ a Ivan ZELINKA. Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm. In:
Mendel 2017 : 23rd international conference on soft computing : June 20-22, 2017, Brno, Czech Republic. Brno: Brno University of Technology, 2017. s. 87-94. ISBN 0-000-00000-0.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. Simultaneous Prediction of Wind Speed and Direction by Evolutionary Fuzzy Rule Forest. In:
Procedia Computer Science. Volume 108. Amsterdam: Elsevier, 2017. s. 295-304. ISBN 0-000-00000-0.
[Detail] ANDREŠIČ, David, Petr ŠALOUN a Ioannis ANAGNOSTOPOULOS. Efficient Big Data Analysis on a Single Machine using Apache Spark and Self-Organizing Map Libraries. In:
Proceedings - 12th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2017. Piscataway: IEEE, 2017. s. 1-5. ISBN 978-1-5386-0756-5.
[Detail] TRI, N.C, H.N. DUONG, T. VAN HOAI, T VAN HOA, V.H. NGUYEN, N.T. TOAN a Václav SNÁŠEL. A Novel Approach Based on Deep Learning Techniques and UAVs to Yield Assessment of Paddy Fields. In:
Proceedings - 2017 9th International Conference on Knowledge and Systems Engineering, KSE 2017. Volume 2017. New York: IEEE, 2017. s. 257-262. ISBN 978-1-5386-3576-6.
[Detail] CHERIF, S., N. BAKLOUTI, A. ALIMI a Václav SNÁŠEL. Fuzzy Feature Selection Based On Interval Type-2 Fuzzy Sets. In:
Proceedings of SPIE. Volume 10341. BELLINGHAM: SPIE-INT SOC OPTICAL ENGINEERING, 2017. s. 1-10. ISBN 978-1-5106-1132-0.
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RASLAN 2017: Recent Advances in Slavonic Natural Language Processing : eleventh workshop on ... : Karlova Studánka, Czech Republic, December 1-3, 2017 : proceedings. Brno: Tribun EU, 2017. s. 37-50. ISBN 978-80-263-1340-3.
[Detail] KUNČICKÝ, Radim, Jakub HENDRYCH a Lačezar LIČEV. Statistical Analysis In Steganalytical Method For Steghide Detection. In:
SGEM 2017 : proceedings of the 17th International Multidisciplinary Scientific GeoConference : June 29 – July 5, 2017, Albena, Bulgaria. Volume 17. Issue 54. Sofia: STEF92 Technology Ltd., 2017. s. 611-616. ISBN 978-619-7408-11-9.
[Detail] HENDRYCH, Jakub, Lačezar LIČEV a Radim KUNČICKÝ. Detector Of Steganographyk Images With The Application Of Artifical Neural Network. Přel. . In:
SGEM 2017 : proceedings of the 17th International Multidisciplinary Scientific GeoConference : June 29 – July 5, 2017, Albena, Bulgaria. Volume 17. Issue 54. Sofia: STEF92 Technology Ltd., 2017. s. 255-262. ISBN 978-619-7408-11-9.
[Detail] MENŠÍK, Marek, Martin PROKEŠ a Vojtěch GARBA. The Tool for Creating the Webcast with Desktop Sharing. In:
16th International Multidisciplinary Scientific GeoConference : SGEM 2016 : informatics, geoinformatics and remote sensing : conference proceedings : 30 June-6 July, 2016, Albena, Bulgaria. Volume I, Informatics, geoinformatics. Sofia: STEF92 Technology Ltd., 2016. s. 497-504. ISBN 978-619-7105-58-2.
[Detail] LIČEV, Lačezar, Karolína PÍCHOVÁ, Jan TOMEČEK a Jakub HENDRYCH. An enhanced method for automatic detection and segmentation of carotid artery in ultrasound images. In:
17th International Conference on Computer Systems and Technologies : CompSysTech 2016, 23-24 June, Palermo, Italy. New York: Association for Computing Machinery, 2016. s. 206-213. ISBN 978-1-4503-4182-0.
[Detail] MUSÍLEK, Petr, Pavel KRÖMER a Tomas BARTON. E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks. In:
2015 IEEE/WIC/ACM International conference on web intelligence and intelligent agent technology (WI-IAT) : vol. 3 : proceedings papers. Los Alamitos: IEEE Computer Society, 2016. s. 231-232. ISBN 978-1-4673-9618-9.
[Detail] SILVANO, C., G. AGOSTA, S. CHERUBIN, D. GADIOLI, G. PALERMO, A. BARTOLINI, L. BENINI, Jan MARTINOVIČ, Martin PALKOVIČ, Kateřina SLANINOVÁ, J. BISPO, J.M.P. CARDOSO, R. ABREU, P. PINTO, C. CAVAZZONI, N. SANNA, A.R. BECCARI, R. CMAR a E. ROHOU. The ANTAREX approach to autotuning and adaptivity for energy efficient HPC Systems. In:
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[Detail] VANTUCH, Tomáš, Stanislav MIŠÁK a Jindřich STUCHLÝ. Power Quality Prediction designed as Binary Classification in AC Coupling Off-Grid System. In:
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC). NEW YORK: IEEE, 2016. s. nestránkováno. ISBN 978-1-5090-2320-2.
[Detail] BURIÁNEK, Tomáš a Stanislav MIŠÁK. Solar irradiance forecasting model based on extreme learning machine. In:
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC). NEW YORK: IEEE, 2016. s. nestránkováno. ISBN 978-1-5090-2320-2.
[Detail] KRÖMER, Pavel a Petr GAJDOŠ. Evaluation of differential evolution with interaction network on a real-parameter optimization benchmark. In:
2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 2974-2981. ISBN 978-1-5090-0622-9.
[Detail] SKANDEROVÁ, Lenka, Tomáš FABIÁN a Ivan ZELINKA. Small-world hidden in differential evolution. In:
2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 3354-3361. ISBN 978-1-5090-0622-9.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. Genetic algorithm for entropy-based feature subset selection. In:
2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4486-4493. ISBN 978-1-5090-0622-9.
[Detail] ZELINKA, Ivan a Lukáš TOMASZEK. Competition On Learning-based Real-Parameter Single Objective Optimization by SOMA Swarm Based Algorithm with SOMARemove Strategy. In:
2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4981-4987. ISBN 978-1-5090-0622-9.
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2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4494-4500. ISBN 978-1-5090-0622-9.
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2016 IEEE Congress on Evolutionary Computation, CEC 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4981-4987. ISBN 978-1-5090-0622-9.
[Detail] VAŇUŠ, Jan, Radek MARTINEK, Petr BILÍK, Jan ŽÍDEK, Pavel DOHNÁLEK a Petr GAJDOŠ. New Method for Accurate Prediction of CO2 in the Smart Home. In:
2016 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS. NEW YORK: IEEE, 2016. s. 1333-1337. ISBN 978-1-4673-9220-4.
[Detail] RODWAY, James, Pavel KRÖMER, Soheila KARIMI a Petr MUSÍLEK. Differential Evolution Optimized Fuzzy Controller for Wireless Sensor Network Energy Management. In:
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016; Vancouver; Canada; 24 July 2016 through 29 July 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 352-358. ISBN 978-1-5090-0625-0.
[Detail] OJHA, Varun Kumar, Ajith ABRAHAM PADATH a Václav SNÁŠEL. Metaheuristic tuning of type-II fuzzy inference systems for data mining. In:
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016; Vancouver; Canada; 24 July 2016 through 29 July 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 610-617. ISBN 978-1-5090-0625-0.
[Detail] KEFI, Sonia, Nizar ROKBANI, Pavel KRÖMER a Adel M. ALIMI. Ant Supervised by PSO and 2-Opt algorithm, AS-PSO-2Opt, Applied to Traveling Salesman Problem. In:
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4866-4871. ISBN 978-1-5090-1897-0.
[Detail] PLUHACEK, Michal, Roman SENKERIK, Jakub JANOSTIK, Adam VIKTORIN a Ivan ZELINKA. Study on swarm dynamics converted into complex network. In:
30th European Conference on Modelling and Simulation, ECMS 2016 : proceedings papers. NOTTINGHAM: EUROPEAN COUNCIL MODELLING & SIMULATION, 2016. s. 252-257. ISBN 978-0-9932440-2-5.
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54th IEEE Conference on Decision and Control. Vienna: IEEE, 2016. s. 1663 - 1668. ISBN 978-1-4799-7884-7.
[Detail] LIČEV, Lačezar, Jakub HENDRYCH a Radim KUNČICKÝ. Neural stegoclassifier. In:
6th International Conference on IT Convergence and Security, ICITCS 2016; Prague; Czech Republic; 26 September 2016 through 29 September 2016. Prague: Institute of Electrical and Electronics Engineers, 2016. s. 271-273. ISBN 978-1-5090-3764-3.
[Detail] GRUNT, Ondřej, Jan PLUCAR a Lukáš KAPIČÁK. Fault analysis of data upload process in Ostrava, Czech Republic using measured network parameters. In:
6th International Conference on IT Convergence and Security, ICITCS 2016; Prague; Czech Republic; 26 September 2016 through 29 September 2016. Prague: Institute of Electrical and Electronics Engineers, 2016. s. 295-299. ISBN 978-1-5090-3765-0.
[Detail] PLUHACEK, Michal, Roman SENKERIK, Adam VIKTORIN a Ivan ZELINKA. Creating Complex Networks Using Multi-swarm PSO. In:
8th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2016) : proceedings papers. Vienna: IEEE, 2016. s. 180-185. ISBN 978-1-5090-4123-7.
[Detail] VAŠINEK, Michal, Jan PLATOŠ a Václav SNÁŠEL. Limitations on low variance k-fold cross validation in learning set of rules inducers. In:
8th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2016) : proceedings papers. New York: IEEE, 2016. s. 207-214. ISBN 978-1-5090-4123-7.
[Detail] KUDĚLKA, Miloš, Jan PLATOŠ a Pavel KRÖMER. Author evaluation based on h-index and citation response. In:
8th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2016) : proceedings papers. New York: IEEE, 2016. s. 375-379. ISBN 978-1-5090-4123-7.
[Detail] KRÖMER, Pavel, Jaromír KONEČNÝ a Michal PRAUZEK. Point-based Scan Matching by Differential Evolution. In:
8th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2016) : proceedings papers. Vienna: IEEE, 2016. s. 215-221. ISBN 978-1-5090-4123-7.
[Detail] ZELINKA, Ivan, Lukáš TOMASZEK a Lumír KOJECKÝ. On Evolutionary Dynamics Modeled by Ant Algorithm. In:
8th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2016) : proceedings papers. New York: IEEE, 2016. s. 193-198. ISBN 978-1-5090-4123-7.
[Detail] DAO, Tran Tron, Vo Hoang DUY, Ivan ZELINKA, Luu Minh TUNG a Pham Nhat PHUONG. Simulation and Optimization of a Non-linear Dynamic Process Using Mathematica. In:
AETA 2015: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES. NEW YORK: SPRINGER, 2016. s. 133-142. ISBN 978-3-319-27247-4.
[Detail] SENKERIK, Roman, Michal PLUHACEK a Ivan ZELINKA. Single and Multi Chaos Enhanced Differential Evolution on the Selected PID Tuning Problem. In:
AETA 2015: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES. NEW YORK: SPRINGER, 2016. s. 563-572. ISBN 978-3-319-27245-0.
[Detail] HASAL, Martin, Lukáš POSPÍŠIL a Jana NOWAKOVÁ. Barzilai-Borwein Method in Graph Drawing Algorithm Based on Kamada-Kawai Algorithm. In:
AIP Conference Proceedings. Volume 1738. New York: American Institute of Physics, 2016. s. 1-4. ISBN 978-0-7354-1392-4.
[Detail] PLUHÁČEK, Michal, Jakub JANOŠTÍK, Roman ŠENKEŘÍK a Ivan ZELINKA. Converting PSO dynamics into complex network - Initial study. In:
AIP Conference Proceedings. Volume 1738. New York: American Institute of Physics, 2016. s. 1-4. ISBN 978-0-7354-1392-4.
[Detail] ŠENKEŘÍK, Roman, Michal PLUHÁČEK, Ivan ZELINKA a Roman JAŠEK. On the Adaptivity and Complexity Embedded into Differential Evolution. In:
AIP Conference Proceedings. Volume 1738. New York: American Institute of Physics, 2016. s. 1-4. ISBN 978-0-7354-1392-4.
[Detail] KOJECKÝ, Lumír, Ivan ZELINKA a Petr ŠALOUN. Evolutionary Synthesis of Automatic Classification on Astroinformatic Big Data. In:
AIP Conference Proceedings. Volume 1738. New York: American Institute of Physics, 2016. s. 1-4. ISBN 978-0-7354-1392-4.
[Detail] PLUHACEK, Michal, Roman SENKERIK, Adam VIKTORIN a Ivan ZELINKA. Chaos Enhanced Repulsive MC-PSO/DE Hybrid. In:
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016. CHAM: SPRINGER INT PUBLISHING AG, 2016. s. 465-475. ISBN 978-3-319-39377-3.
[Detail] ŠENKEŘÍK, Roman, Michal PLUHÁČEK, Ivan ZELINKA, Adam VIKTORIN a Jakub JANOSTIK. Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic. In:
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016. CHAM: SPRINGER INT PUBLISHING AG, 2016. s. 493-504. ISBN 978-3-319-39377-3.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. A comparison of differential evolution and genetic algorithms for the column subset selection problem. In:
Advances in Intelligent Systems and Computing. Volume 403. London: Springer Verlag, 2016. s. 223-232. ISBN 978-3-319-26225-3.
[Detail] VAŠINEK, Michal a Jan PLATOŠ. Experiments on data classification using relative Entropy. In:
Advances in Intelligent Systems and Computing. Volume 403. London: Springer Verlag, 2016. s. 233-242. ISBN 978-3-319-26225-3.
[Detail] JEŽOWICZ, Tomáš, Petr BUČEK, Jan PLATOŠ a Václav SNÁŠEL. Evolutionary algorithms for fast parallel classification. In:
Advances in Intelligent Systems and Computing. Volume 403. London: Springer Verlag, 2016. s. 659-670. ISBN 978-3-319-26225-3.
[Detail] HASSAN, A.K.I. a Ajith ABRAHAM PADATH. Modeling insurance fraud detection using imbalanced data classification. In:
Advances in Intelligent Systems and Computing. Volume 419. London: Springer Verlag, 2016. s. 117-127. ISBN 978-3-319-27399-0.
[Detail] ABERA, E.S., A. BELAY a Ajith ABRAHAM PADATH. Real-Time Vehicle Emission Monitoring and Location Tracking Framework. In:
Advances in Intelligent Systems and Computing. Volume 419. London: Springer Verlag, 2016. s. 211-221. ISBN 978-3-319-27399-0.
[Detail] HABTIE, A.B., Ajith ABRAHAM PADATH a D MIDEKSO. Applying design science research to design and evaluate real-time road traffic state estimation framework. In:
Advances in Intelligent Systems and Computing. Volume 419. London: Springer Verlag, 2016. s. 223-233. ISBN 978-3-319-27399-0.
[Detail] AHMED, Nada, Varun Kumar OJHA a Ajith ABRAHAM PADATH. An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment. In:
Advances in Intelligent Systems and Computing. Volume 419. London: Springer Verlag, 2016. s. 27-36. ISBN 978-3-319-27399-0.
[Detail] HABTIE, A.B., Ajith ABRAHAM PADATH a D. MIDEKSO. A neural network model for road traffic flow estimation. In:
Advances in Intelligent Systems and Computing. Volume 419. London: Springer Verlag, 2016. s. 305-314. ISBN 978-3-319-27399-0.
[Detail] BASTERRECH TISCORDIO, Sebastian, G. RUBINO a Václav SNÁŠEL. Experimental analysis of a hybrid reservoir computing technique. In:
Advances in Intelligent Systems and Computing. Volume 420. London: Springer Verlag, 2016. s. 237-247. ISBN 978-3-319-27220-7.
[Detail] KEFI, S., N. ROKBANI, Pavel KRÖMER a A.M. ALIMI. A New Ant Supervised-PSO Variant Applied to Traveling Salesman Problem A New Ant Supervised-PSO Variant Applied to Traveling Salesman Problem A New Ant Supervised-PSO Variant Applied to Traveling Salesman Problem A New Ant Supervised-PSO Variant Applied to Traveling Salesman Problem. In:
Advances in Intelligent Systems and Computing. Volume 420. London: Springer Verlag, 2016. s. 87-101. ISBN 978-3-319-27220-7.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. Cluster analysis of data with reduced dimensionality: An empirical study. In:
Advances in Intelligent Systems and Computing. Volume 423. Heidelberg: Springer, 2016. s. 121-132. ISBN 978-3-319-27642-7.
[Detail] ABDELWAHAB, Sara, Varun Kumar OJHA a Ajith ABRAHAM PADATH. Ensemble of flexible neural trees for predicting risk in grid computing environment. In:
Advances in Intelligent Systems and Computing. Volume 424. London: Springer Verlag, 2016. s. 151-161. ISBN 978-3-319-28030-1.
[Detail] UHER, Vojtěch, Petr GAJDOŠ, Tomáš JEŽOWICZ a Václav SNÁŠEL. Application of hexagonal coordinate systems for searching the K-NN in 2D space. In:
Advances in Intelligent Systems and Computing. Volume 424. London: Springer Verlag, 2016. s. 209-220. ISBN 978-3-319-28030-1.
[Detail] ZAORÁLEK, Lukáš, Michal PRÍLEPOK a Václav SNÁŠEL. Cattle Identification using Muzzle Images. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 105-115. ISBN 978-3-319-29503-9.
[Detail] SOORI, Hussein Khaled Hussein, Michal PRÍLEPOK, Jan PLATOŠ a Václav SNÁŠEL. Semantic and Similarity Measure Methods for Plagiarism Detection of Students' Assignments. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 117-125. ISBN 978-3-319-29503-9.
[Detail] ABDELWAHAB, Sara, Varun Kumar OJHA a Ajith ABRAHAM PADATH. Neuro-fuzzy risk prediction model for computational grids. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 127-136. ISBN 978-3-319-29503-9.
[Detail] OJHA, Varun Kumar, Ajith ABRAHAM PADATH a Václav SNÁŠEL. Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (lactic-co-glycolic acid) micro- and nanoparticle. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 155-165. ISBN 978-3-319-29503-9.
[Detail] ŠTOLFA, Jakub, Svatopluk ŠTOLFA, Michael Alexander KOŠINÁR a Václav SNÁŠEL. Introduction to integration of the process mining to the knowledge framework for software processes. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 21-31. ISBN 978-3-319-29503-9.
[Detail] JANOUŠEK, Jan, Petr GAJDOŠ, Michal RADECKÝ a Václav SNÁŠEL. Application of bio-inspired methods within cluster forest algorithm. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 237-247. ISBN 978-3-319-29503-9.
[Detail] KUDĚLKA, Miloš. Analysis of significance and evolution of co-authorship networks. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 3-4. ISBN 978-3-319-29503-9.
[Detail] CZOPIK, Jan, Jakub ŠTOLFA, Svatopluk ŠTOLFA, Michael Alexander KOŠINÁR a Ivo VONDRÁK. Software process resource utilization simulation using CPN. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 33-43. ISBN 978-3-319-29503-9.
[Detail] ŠTRBA, Radoslav, Radim BRIŠ, Ivo VONDRÁK a Svatopluk ŠTOLFA. Application of naïve Bayes in classification of use cases. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 361-370. ISBN 978-3-319-29503-9.
[Detail] ŠALOUN, Petr, David ANDREŠIČ, Petr ŠKODA a Ivan ZELINKA. Better Spectra manipulation in SPLAT-VO. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 373-384. ISBN 978-3-319-29503-9.
[Detail] PLUHACEK, Michal, Roman SENKERIK a Ivan ZELINKA. Chaos PSO with Super-Sized Swarm—Initial Study. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 527-536. ISBN 978-3-319-29503-9.
[Detail] PLUHACEK, Michal, Jakub JANOSTIK, Roman SENKERIK, Ivan ZELINKA a Donald David DAVENDRA. PSO as Complex Network-Capturing the Inner Dynamics-Initial Study. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 551-559. ISBN 978-3-319-29503-9.
[Detail] FOUAD, M.M., Tarek Mohammed Abdelhadi GABER, M. AHMED, Nour Easa OWEIS a Václav SNÁŠEL. Big Data pre-processing techniques within thewireless sensors networks. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 667-677. ISBN 978-3-319-29503-9.
[Detail] KOŽUSZNIK, Jan a David JEŽEK. The Using of Petri nets for Controlling of the Embedded Device. In:
Advances in Intelligent Systems and Computing. Volume 427. London: Springer, 2016. s. 93-103. ISBN 978-3-319-29503-9.
[Detail] GAJDOŠ, Petr, Pavel DOHNÁLEK, Michal ČERBÁK a Jitka MOHYLOVÁ. An EEG classification approach based on intrinsic signal properties and wavelets. In:
Advances in Intelligent Systems and Computing. Volume 450. Basel: Springer, 2016. s. 135-145. ISBN 978-3-319-33608-4.
[Detail] KRÖMER, Pavel, Jan PLATOŠ a Václav SNÁŠEL. Three types of differential evolution applied to the facility location problem. In:
Advances in Intelligent Systems and Computing. Volume 450. Basel: Springer, 2016. s. 487-499. ISBN 978-3-319-33608-4.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Power load daily-similarity and time-series prediction using the selective differential polynomial network. In:
Advances in Intelligent Systems and Computing. Volume 450. Cham: Springer, 2016. s. 123-134. ISBN 978-3-319-33608-4.
[Detail] TAHA, T.M.F., E. SHOMO, Nour Easa OWEIS a Václav SNÁŠEL. Feature selection by principle component analysis for mining frequent association rules. In:
Advances in Intelligent Systems and Computing. Volume 450. Berlin: Springer, 2016. s. 99-109. ISBN 978-3-319-33608-4.
[Detail] HUSSIEN, I., S. OMER, Nour Easa OWEIS a Václav SNÁŠEL. Feature selection using semi discrete decomposition and singular value decompositions. In:
Advances in Intelligent Systems and Computing. Volume 450. Cham: Springer, 2016. s. 87-97. ISBN 978-3-319-33608-4.
[Detail] BASTERRECH TISCORDIO, Sebastian a Václav SNÁŠEL. Feature selection using a genetic algorithm for solar power prediction. In:
Advances in Intelligent Systems and Computing. Volume 450. Heidelberg: Springer, 2016. s. 409-419. ISBN 978-3-319-33608-4.
[Detail] PLUHÁČEK, Michal, Roman ŠENKEŘÍK a Ivan ZELINKA. Multiswarm PSO with supersized swarms-Initial performance study. In:
Advances in intelligent systems and computing. Volume 378. Berlin: Springer, 2016. s. 1-5. ISBN 978-3-319-19823-1.
[Detail] ZJAVKA, Ladislav a Václav SNÁŠEL. Forecasting a Photovoltaic Power Output with Ordinary Differential Equation Solutions using the “Aladin” model. In:
Advances in intelligent systems and computing. Volume 565. Berlin: Springer, 2016. s. 28-37. ISBN 978-3-319-60833-4.
[Detail] ŠTOLFA, Jakub, Svatopluk ŠTOLFA, Andreas RIEL, Serge TICHKIEWITCH, Christian KREINER, Richard MESSNARZ, Miran RODIC a Monika GAISCH. Automotive Quality Universities - AQUA Alliance Extension to Higher Education. In:
Communications in Computer and Information Science. Volume 633. Basel: Springer, 2016. s. 176-187. ISBN 978-3-319-44816-9.
[Detail] RODIC, Miran, Andreas RIEL, Richard MESSNARZ, Jakub ŠTOLFA a Svatopluk ŠTOLFA. Functional safety considerations for an in-wheel electric motor for education. In:
Communications in Computer and Information Science. Volume 633. Basel: Springer, 2016. s. 251-258. ISBN 978-3-319-44816-9.
[Detail] STEBEL, Jakub, Michal KRUMNIKL, Pavel MORAVEC, Petr OLIVKA a David SEIDL. Neural network classification of SDR signal modulation. In:
Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016 : Vilnius, Lithuania, September 14-16, 2016 : proceedings. Cham: Springer, 2016. s. 160-171. ISBN 978-3-319-45377-4.
[Detail] ŠEVČÍK, Jiří a Jiří DVORSKÝ. Techniques of Czech Language Lossless Text Compression. In:
Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016 : Vilnius, Lithuania, September 14-16, 2016 : proceedings. Cham: Springer, 2016. s. 265-276. ISBN 978-3-319-45377-4.
[Detail] GOLASOWSKI, Martin, Radek TOMIS, Jan MARTINOVIČ, Kateřina SLANINOVÁ a Lukáš RAPANT. Performance evaluation of probabilistic time-dependent travel time computation. In:
Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016 : Vilnius, Lithuania, September 14-16, 2016 : proceedings. Cham: Springer, 2016. s. 377-388. ISBN 978-3-319-45377-4.
[Detail] MARTINOVIČ, Tomáš, Kateřina JANUROVÁ, Kateřina SLANINOVÁ a Jan MARTINOVIČ. Automated application of inventory optimization. In:
Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016 : Vilnius, Lithuania, September 14-16, 2016 : proceedings. Heidelberg: Springer, 2016. s. 230-239. ISBN 978-3-319-45377-4.
[Detail] PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN a Ivan ZELINKA. Single Swarm and Simple Multi-Swarm PSO Comparison. In:
EUROSIM 2016 : proceedings of the 9. EUROSIM congress on modelling and simulation : September 12-16, 2016, Oulu, Finland. Danvers: IEEE, 2016. s. 498-502. ISBN 978-1-5090-4119-0.
[Detail] ŠENKEŘÍK, Roman, Michal PLUHÁČEK, Ivan ZELINKA a Adam VIKTORIN. Comparison of PSO and DE in the task of optimal control of chaotic Lozi map. In:
European Modelling & Simulation Symposium 2016 : proceedings of the 28th symposium : September 26-28, 2016, Larnaca, Cyprus. [Dánsko]: [s.n.], 2016. s. 303-308. ISBN 978-88-97999-76-8.
[Detail] ŠTRBA, Radoslav, Jakub ŠTOLFA a Svatopluk ŠTOLFA. Finding an Optimal Configuration of the Feed-forward Neural Network. In:
Frontiers in Artificial Intelligence and Applications, vol. 292. Amsterodam: IOS Press, 2016. s. 199-206. ISBN 978-1-61499-719-1.
[Detail] KOŠINÁR, Michael Alexander, Jan CZOPIK a Jakub ŠTOLFA. Formal Knowledge Framework for Software Processes Architecture. In:
Frontiers in Artificial Intelligence and Applications, vol. 292. Amsterodam: IOS Press, 2016. s. 42-56. ISBN 978-1-61499-719-1.
[Detail] UHER, Vojtěch, Petr GAJDOŠ, Michal RADECKÝ a Václav SNÁŠEL. A Novel Approach of Applying the Differential Evolution to Spatial Discrete Data. In:
Frontiers in Artificial Intelligence and Applications. Volume 285. Amsterodam: IOS Press, 2016. s. 1-6. ISBN 978-1-61499-671-2.
[Detail] KRÖMER, Pavel a Jan PLATOŠ. Evolutionary Feature Subset Selection with Compression-based Entropy Estimation. In:
GECCO'16 : proceedings of the 2016 Genetic and evolutionary computation conference. New York: Association for Computing Machinery, 2016. s. 933-940. ISBN 978-1-4503-4206-3.
[Detail] PLUHACEK, Michal, Roman SENKERIK, Adam VIKTORIN a Ivan ZELINKA. Multi-chaotic Approach for Particle Acceleration in PSO. In:
HYBRID METAHEURISTICS (HM 2016). CHAM: SPRINGER INT PUBLISHING AG, 2016. s. 75-86. ISBN 978-3-319-39635-4.
[Detail] FASUGA, Radoslav, Katarína REBROŠOVÁ, Eduard KUBANDA, Václav PILÍK, Jan MIČANIN, Andrej PINČÍK a Jiří RÝDEL. Gloffer - Student based project for low-cost marketing and system promotion: Portal for offers and demands, its preparation and launch. In:
ICETA 2016 - 14th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2016. s. 63-68. ISBN 978-1-5090-4701-7.
[Detail] ZELINKA, Ivan. On Possibilities of Evolutionary Synthesis of Robot Control Sequences. In:
IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR). Vienna: IEEE, 2016. s. 332-337. ISBN 978-1-4673-8959-4.
[Detail] VANTUCH, Tomáš, Jan GAURA, Stanislav MIŠÁK a Ivan ZELINKA. A Complex Network Based Classification of Covered Conductors Faults Detection. In:
Intelligent data analysis and applications: proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016. London: Springer, 2016. s. 278-286. ISBN 978-3-319-48498-3.
[Detail] KROCZEK, Lukáš a Ivan ZELINKA. Cellular automaton rule extractor. In:
Intelligent data analysis and applications: proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016. New York: Springer, 2016. s. 20-25. ISBN 978-3-319-48498-3.
[Detail] BÖHM, Stanislav, Ondřej MECA a Petr JANČAR. State-space reduction of non-deterministically synchronizing systems applicable to deadlock detection in MPI. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). CHAM: Springer Verlag, 2016. s. 102-118. ISBN 978-3-319-48988-9.
[Detail] MORAVEC, Pavel, Michal KRUMNIKL, Petr OLIVKA a David SEIDL. Connecting household weather sensors to IoT world. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). CHAM: Springer Verlag, 2016. s. 603-616. ISBN 978-3-319-45377-4.
[Detail] KOCYAN, Tomáš, Kateřina SLANINOVÁ a Jan MARTINOVIČ. Flexible global constraint extension for dynamic time warping. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Verlag, 2016. s. 389-401. ISBN 978-3-319-45377-4.
[Detail] VOJÁČEK, Lukáš, Pavla DRÁŽDILOVÁ a Jiří DVORSKÝ. Optimization of combining of self organizing maps and growing neural gas. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vilnius: Springer Verlag, 2016. s. 277-286. ISBN 978-3-319-45377-4.
[Detail] ŠURKALA, Milan, Radovan FUSEK, Michael HOLUŠA a Eduard SOJKA. Hierarchical fast mean-shift segmentation in depth images. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10016. Cham: Springer Verlag, 2016. s. 441-452. ISBN 978-3-319-48679-6.
[Detail] ZELINKA, Ivan, Lumír KOJECKÝ a Roman ŠENKEŘÍK. Strange Nonchaotic Attractors in Evolutionary Processing of Astroinformatic Big Data. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10062. Cham: Springer, 2016. s. 75-79. ISBN 978-3-319-62427-3.
[Detail] TOMIS, Radek, Lukáš RAPANT, Jan MARTINOVIČ, Kateřina SLANINOVÁ a Ivo VONDRÁK. Probabilistic time-dependent travel time computation using Monte Carlo simulation. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9611. Cham: Springer, 2016. s. 161-170. ISBN 978-3-319-40360-1.
[Detail] ŘÍHA, Lubomír, Tomáš BRZOBOHATÝ, Alexandros MARKOPOULOS, Tomáš KOZUBEK, Ondřej MECA, Olaf SCHENK a Wim VANROOSE. Efficient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9611. Basel: Springer, 2016. s. 85-100. ISBN 978-3-319-40360-1.
[Detail] ZELINKA, Ivan a Michal BUKACEK. SOMA Swarm Algorithm in Computer Games. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9692. Basel: Springer, 2016. s. 395-406. ISBN 978-3-319-39377-3.
[Detail] BASTERRECH TISCORDIO, Sebastian. Experimental analysis of forecasting solar irradiance with Echo state networks and simulating annealing. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9692. Berlin: Springer, 2016. s. 15-24. ISBN 978-3-319-39377-3.
[Detail] OLIVKA, Petr, Michal KRUMNIKL, Pavel MORAVEC a David SEIDL. Process of point clouds merging for mapping of a robot’s working environment. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9842. London: Springer Verlag, 2016. s. 251-264. ISBN 978-3-319-45377-4.
[Detail] HRABAL, Josef, David SEIDL, Michal KRUMNIKL, Pavel MORAVEC a Petr OLIVKA. The radio direction finding with advantage of the software defined radio. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9842. London: Springer Verlag, 2016. s. 720-728. ISBN 978-3-319-45377-4.
[Detail] LE, Van Vang, H.T. NGUYEN, Václav SNÁŠEL a T. DAO. Identify influential spreaders in online social networks based on social meta path and PageRank. In:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). volume 9795. Cham: Springer, 2016. s. 51-61. ISBN 978-3-319-42344-9.
[Detail] JANOUŠEK, Jan, Petr GAJDOŠ, Pavel DOHNÁLEK a Michal RADECKÝ. Fast human activity recognition based on a massively parallel implementation of random forest. In:
Lecture Notes in Computer Science. Volume 9622. Berlin Heidelberg: Springer-Verlag Berlin Heidelberg, 2016. s. 169-178. ISBN 978-3-662-49389-2.
[Detail] KOT, Tomáš, Petr NOVÁK, Ján BABJAK a Petr OLIVKA. Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot. In:
Lecture Notes in Computer Science. Volume 9991. Cham: Springer, 2016. s. 214-225. ISBN 978-3-319-47605-6.
[Detail] OLIVKA, Petr, Milan MIHOLA, Petr NOVÁK, Tomáš KOT a Ján BABJAK. The Design of 3D Laser Range Finder for Robot Navigation and Mapping in Industrial Environment with Point Clouds Preprocessing. In:
Lecture Notes in Computer Science. Volume 9991. Cham: Springer, 2016. s. 371-383. ISBN 978-3-319-47605-6.
[Detail] JANČAR, Petr. Deciding semantic finiteness of pushdown processes and first-order grammars w.r.t. bisimulation equivalence. In:
Leibniz International Proceedings in Informatics, LIPIcs. Volume 58. Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2016. s. 52:1--52:13. ISBN 978-3-95977-016-3.
[Detail] ŘÍHA, Lubomír, Tomáš BRZOBOHATÝ, Alexandros MARKOPOULOS, Ondřej MECA a Tomáš KOZUBEK. Massively parallel hybrid total FETI (HTFETI) solver. In:
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[Detail] OLIVKA, Petr, Milan MIHOLA, Petr NOVÁK, Tomáš KOT a Ján BABJAK. The 3D Laser Range Finder Design for the Navigation and Mapping for the Coal Mine Robot. In:
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[Detail] JANOSTIK, Jakub, Michal PLUHACEK, Roman SENKERIK a Ivan ZELINKA. Particle Swarm Optimizer with Diversity Measure Based on Swarm Representation in Complex Network. In:
PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015). BERLIN: SPRINGER-VERLAG BERLIN, 2016. s. 561-569. ISBN 978-3-319-29503-9.
[Detail] JANOSTIK, Jakub, Michal PLUHACEK, Roman SENKERIK, Ivan ZELINKA a Frantisek SPACEK. Capturing Inner Dynamics of Firefly Algorithm in Complex Network-Initial Study. In:
PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015). BERLIN: SPRINGER-VERLAG BERLIN, 2016. s. 571-577. ISBN 978-3-319-29503-9.
[Detail] SENKERIK, Roman, Michal PLUHACEK, Ivan ZELINKA, Donald David DAVENDRA a Jakub JANOSTIK. Preliminary Study on the Randomization and Sequencing for the Chaos Embedded Heuristic. In:
PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015). BERLIN: SPRINGER-VERLAG BERLIN, 2016. s. 591-601. ISBN 978-3-319-29503-9.
[Detail] RIEL, Andreas, S. TICHKIEWITCH, Jakub ŠTOLFA, Svatopluk ŠTOLFA, C. KREINER, R. MESSNARZ a M. RODIC. Industry-academia Cooperation to Empower Automotive Engineering Designers. In:
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[Detail] VANTUCH, Tomáš, Václav SNÁŠEL a Ivan ZELINKA. Dimensionality Reduction Method's Comparison Based on Statistical Dependencies. In:
Procedia Computer Science. Volume 83. Amsterdam: Elsevier, 2016. s. 1025-1031. ISBN 0-000-00000-0.
[Detail] RAZIS, Gerasimos, Ioannis ANAGNOSTOPOULOS a Petr ŠALOUN. Thematic labeling of Twitter accounts using DBpedia properties. In:
Proceedings - 11th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2016. New York: Institute of Electrical and Electronics Engineers, 2016. s. 106-111. ISBN 978-1-5090-5245-5.
[Detail] JANOUŠEK, Jan, Petr GAJDOŠ, Michal RADECKÝ a Václav SNÁŠEL. Gaussian Mixture Model Cluster Forest. In:
Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Vienna: IEEE, 2016. s. 1019-1023. ISBN 978-1-5090-0287-0.
[Detail] PLUHÁČEK, Michal, Tomáš KADAVÝ, Roman ŠENKEŘÍK, Adam VIKTORIN a Ivan ZELINKA. Comparing Selected PSO Modifications on CEC 15 Benchmark Set. In:
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Vienna: IEEE, 2016. s. 1-6. ISBN 978-1-4799-7560-0.
[Detail] GAJDOŠ, Petr, Pavel KRÖMER a Ivan ZELINKA. Network visualization of population dynamics in the differential evolution. In:
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Vienna: IEEE, 2016. s. 1522-1528. ISBN 978-1-4799-7560-0.
[Detail] KRÖMER, Pavel, Petr GAJDOŠ a Ivan ZELINKA. Towards a network interpretation of agent interaction in ant colony optimization. In:
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Danvers: IEEE, 2016. s. 1126-1132. ISBN 978-1-4799-7560-0.
[Detail] SILVANO, C., G. AGOSTA, A. BARTOLINI, A. BECCARI, L. BENINI, J. CARDOSO, C. CAVAZZONI, R. CMAR, Jan MARTINOVIČ, G. PALERMO, Martin PALKOVIČ, E. ROHOU, N. SANNA a Kateřina SLANINOVÁ. ANTAREX - AutoTuning and adaptivity approach for energy efficient eXascale HPC systems. In:
Proceedings - IEEE 18th International Conference on Computational Science and Engineering, CSE 2015. New York: Institute of Electrical and Electronics Engineers, 2016. s. 343-346. ISBN 978-1-4673-8297-7.
[Detail] ŠALOUN, Petr, David ANDREŠIČ, P. ŠKODA a Ivan ZELINKA. Time Series, Collaboration and Large Data Sets Enhancements of SPLAT-VO. In:
Proceedings - SIMS 2016: 2nd International Conference on Systems Informatics, Modelling and Simulation. New York: Institute of Electrical and Electronics Engineers, 2016. s. 111-116. ISBN 978-1-5090-2693-7.
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[Detail] ZJAVKA, Ladislav, Václav SNÁŠEL, Varun Kumar OJHA a W. PEDRYCZ. A substitution of the general partial differential equation with extended polynomial networks. In:
Proceedings of the International Joint Conference on Neural Networks. New York: Institute of Electrical and Electronics Engineers, 2016. s. 4819-4826. ISBN 978-1-5090-0619-9.
[Detail] RAPANT, Lukáš, Tomáš MARTINOVIČ, Kateřina SLANINOVÁ a Jan MARTINOVIČ. TRAFFIC SPEED PREDICTION USING PROBABILISTIC GRAPHICAL MODELS. In:
Proceedings of the third international conference on traffic and transport engineering (ICTTE). Bělehrad: SCIENTIFIC RESEARCH CENTER LTD BELGRADE, 2016. s. 941-948. ISBN 978-86-916153-3-8.
[Detail] GRAKOVA, Ekaterina, Jan MARTINOVIČ, Kateřina SLANINOVÁ, Tomáš MARTINOVIČ a Radek TOMIS. ANALYSIS OF APPROACHES FOR TRAJECTORY COMPARISON. In:
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[Detail] DUŽÍ, Marie a Michal FAIT. The algorithm of context recognition in TIL. In:
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[Detail] RAPANT, Lukáš, Kateřina SLANINOVÁ, Jan MARTINOVIČ a Tomáš MARTINOVIČ. Traffic speed prediction using hidden markov models for Czech Republic highways. In:
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Smart Innovation, Systems and Technologies. Berlin: Springer Science and Business Media Deutschland GmbH, 2016. s. 219-229. ISBN 978-3-319-39882-2.
[Detail] UHER, Vojtěch, Petr GAJDOŠ a Václav SNÁŠEL. The visualization of large graphs accelerated by the parallel nearest neighbors algorithm. In:
The Second IEEE International Conference on Multimedia Big Data : April 20-22, 2015, Taipei, Taiwan. New York: IEEE, 2016. s. 9-16. ISBN 978-1-5090-2178-9.
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