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Vladimír Mařík
Vladimír Mařík
Verified email at ciirc.cvut.cz
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Year
A review of architectures and concepts for intelligence in future electric energy systems
T Strasser, F Andren, J Kathan, C Cecati, C Buccella, P Siano, P Leitao, ...
IEEE Transactions on Industrial Electronics 62 (4), 2424-2438, 2014
5732014
Industrial deployment of multi-agent technologies: review and selected case studies
M Pěchouček, V Mařík
Autonomous agents and multi-agent systems 17, 397-431, 2008
3142008
Past, present, and future of industrial agent applications
P Leităo, V Mařík, P Vrba
IEEE Transactions on Industrial Informatics 9 (4), 2360-2372, 2012
2712012
Průmysl 4.0: výzva pro Českou republiku
V Mařík
Management Press, 2016
2432016
A review of agent and service-oriented concepts applied to intelligent energy systems
P Vrba, V Mařík, P Siano, P Leităo, G Zhabelova, V Vyatkin, T Strasser
IEEE transactions on industrial informatics 10 (3), 1890-1903, 2014
1882014
Understanding data heterogeneity in the context of cyber-physical systems integration
V Jirkovský, M Obitko, V Mařík
IEEE Transactions on Industrial Informatics 13 (2), 660-667, 2016
1702016
Rockwell automation's holonic and multiagent control systems compendium
P Vrba, P Tichý, V Mařík, KH Hall, RJ Staron, FP Maturana, P Kadera
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010
1702010
Umělá inteligence
V Mařík, O Štěpánková, J Lažanský
Academia, 1993
1621993
Umělá inteligence: 4
V Mařík, O Štěpánková, J Lažanský
Academia, 2003
1592003
Industrial applications of agent technologies
V Mařík, J Lažanský
Control engineering practice 15 (11), 1364-1380, 2007
1542007
Holons & agents: Recent developments and mutual impacts
V Mařík, M Fletcher, M Pěchouček
ECCAI Advanced Course on Artificial Intelligence, 233-267, 2001
1242001
Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect
A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík
Digital Signal Processing 47, 169-177, 2015
1102015
Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect
O Ťupa, A Procházka, O Vyšata, M Schätz, J Mareš, M Vališ, V Mařík
Biomedical engineering online 14, 1-20, 2015
1062015
A knowledge-based approach to coalition formation
M Pechoucek, V Marík, J Bárta
IEEE Intelligent Systems 17 (3), 17-25, 2002
802002
Using radio frequency identification in agent-based control systems for industrial applications
P Vrba, F Macůrek, V Mařík
Engineering Applications of Artificial Intelligence 21 (3), 331-342, 2008
792008
Rockwell automation agents for manufacturing
V Mařík, P Vrba, KH Hall, FP Maturana
Proceedings of the fourth international joint conference on Autonomous …, 2005
782005
Semantic technologies: latest advances in agent-based manufacturing control systems
P Vrba, M Radakovič, M Obitko, V Mařík
International Journal of Production Research 49 (5), 1483-1496, 2011
542011
Toward plug&play cyber-physical system components
V Jirkovský, M Obitko, P Kadera, V Mařík
IEEE Transactions on Industrial Informatics 14 (6), 2803-2811, 2018
512018
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders
A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík
Neural Computing and Applications 26, 1621-1629, 2015
492015
Holonic and multi-agent systems for manufacturing
V Marík, V Vyatkin, AW Colombo
Springer Berlin Heidelberg, 2007
462007
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