Domaines de recherche et des publications sÉlectionnÉes:
L'analyse des données de télédétection
L'extraction automatique de points de contrôle dans les systèmes d'images téléobservées hétérogènes et multimodales (lidar, satellites optiques, SAR, capteurs aéroportés). Méthodes de l'intelligence de calcul pour la classification des scènes et la détection d'objets. Analyse adaptative multiéchelle dans les systèmes spatio-temporels.
Zaremba, M., Automated Mapping of Hydrographic Systems from Satellite Imagery Using Self-Organizing Maps and Principal Curves. In: Self Organizing Maps, New Achievements, InTech, Vienna, 2011, 339-354.
Palenichka, R., A. Lakhssassi and M.B. Zaremba, Spatiotemporal Attention Operator Using Isotropic Contrast and Regional Homogeneity. Journal of Electronic Imaging, 20(2), 2011, 023018-1 - 14.
Palenichka, R., A. Lakhssassi and M. B. Zaremba, Adaptive Multi-Scale Segmentation of Surface Data Using Unsupervised Learning of Seed Positions. Engineering Applications of Artificial Intelligence, 24, 2011, 822-832.
Palenichka, R., T. Hirose, A. Lakhssassi, M. Petrou, M.B. Zaremba. Sea ice segmentation of SAR imagery using multi-temporal and multi-scale feature extraction. Int. Conf. SPACETECH 2011, Athens, Greece. IEEE Comp. Society, 2011.
Palenichka, R.M. and M.B. Zaremba, Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images. IEEE Transactions on Geoscience and Remote Sensing, 48(7), 2010, 2864-2879.
Zaremba, M.B., Télédétection - au coeur des systèmes intelligents. Sixième Conférence Internationale Francophone d'Automatique (CIFA 2010). Nancy, France, June 2-4, 2010.
Palenichka, R., A. Lakhssassi and M.B. Zaremba, Transformation-invariant extraction of multi-location image features from remote sensing imagery. The 30th IEEE Int. Geoscience and Remote Sensing Symp. (GRSS 2010), Honolulu, Hawaii, July 25-30, 2010.
Zaremba, M.B., Remote Sensing Applications – New Vistas for Measurement and Control. Journal of Automation, Mobile Robotics & Intelligent Systems, 2(3), 2008, 3-12.
Palenichka, R.M. and M.B. Zaremba, Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images. IEEE Transactions on Geoscience and Remote Sensing, 45(12), 2007, 3944-3956.
Systèmes intelligents de fabrication
Conception des systèmes de fabrication avec des processus distribués en compétition pour l'accès aux ressources partagées. Procédures d'aide à la décision basées sur la programmation logique avec contraintes et les techniques de l'intelligence de calcul.
Zaremba, M.B., Intelligence in Manufacturing Systems: The Pattern Recognition Perspective. Control & Cybernetics. 39(1), 2010, 233-258.
Halal, F. and M.B. Zaremba, Hybrid Geno-Fuzzy Control for Deliberative-Reactive Navigation. IFAC Workshop on Intelligent Control Systems (WICS 2010), Sinaia, Romania, Sept. 29 – Oct. 2, 2010.
Banaszak, Z.A., M.B. Zaremba, and W. Muszyński, Constraint programming for project-driven manufacturing. International Journal of Production Economics. 120(2), 2009, 463-475.
Banaszak, Z.A. and M.B. Zaremba, Project-Driven Planning and Scheduling Support for Virtual Manufacturing. Journal of Intelligent Manufacturing, 17/6, 2006, 641-652.
Zaremba, M.B. and R.M. Palenichka, Relevance-based Content Modeling and Object Retrieval from Multi-source Image Data, Concurrent Engineering: Research and Applications, 13(2), 2005, 155-166.
Zaremba, M.B., Remote Sensing Applications – New Vistas for Measurement and Control. Proc. 12 Conf. AUTOMATION 2008, Warsaw, Poland, April 2-4, 2008, 69-81.
Zaremba, M.B. Intelligence in Manufacturing Systems. The 9th IFAC Workshop on Intelligent Manufacturing Systems (IMS'08), Szczecin, Poland, October 9-10, 2008.
Zaremba, M.B. and G. Morel, Integration and Control of Intelligence in Distributed Manufacturing. Journal of Intelligent Manufacturing, 14(1), 2003, 25-42.
Morel G., Panetto H., Zaremba M.B., Mayer F., Manufacturing Enterprise Control and Management System Engineering: Paradigms and Open Issues. IFAC Annual Reviews in Control. 27(2), 2003, 199-209.
Contrôle par l'apprentissage itératif (ILC).
Analyse de convergence d'algorithmes 2-D pour le contrôle par l'apprentissage itératif. Algorithmes d'apprentissage pour les applications en robotique.
Tayebi, A., S. Abdul, M. B. Zaremba, and Y. Ye, Robust Iterative Learning Control Design: Application to a Robot Manipulator. IEEE/ASME Transactions on Mechatronics, 13(5), 2008, 608-613.
Tayebi, A., Zaremba, M.B., Robust Iterative Learning Control Design is Straightforward for Uncertain LTI Systems Satisfying the Robust Performance Condition. IEEE Transactions on Automatic Control. 48(1), 2003, pp. 101-106.
Tayebi, A., Zaremba, M.B., Iterative Learning Control for Nonlinear Systems Described by a Blended Multiple Model Representation. International Journal of Control, 75(16/17), 2002, 1376-1384.
Kurek, J.E. and M.B. Zaremba, Iterative Learning Control Synthesis Based on 2-D System Theory, IEEE Trans. Automatic Control, 38(1), 1993