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P., Peterek, T.: Mobile Sensor Data Classification Using GM-SOM, Advances in Intelligent Systems and Computing. Volume 210, 12, pp. 487-496 (2013). [58] Holusa,
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elektrotechniczny,89,11,pp. 55-58 (2013). [55] Gajdoš, P., Moravec, P., Dohnálek, P., Peterek, T.: Mobile Sensor Data Classification Using GM-SOM, Advances in Intelligent
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elektrotechniczny,89,11,pp. 55-58 (2013). [55] Gajdoš, P., Moravec, P., Dohnálek, P., Peterek, T.: Mobile Sensor Data Classification Using GM-SOM, Advances in Intelligent
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I. Stand-off Explosives Detection Using Terahertz Technology. In Schubert, H. Rimski-Korzakov, A. (eds) Stand-off Detection of Suicide Bombers and Mobile Subjects.
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is a vector representing the joint torques, and fk ∈ R6 denotes an external wrench applied by the environment to the link of the k-th contact. The Jacobian JCk =
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Complete list of projects of our users Applications of Deep Neural Network based Urban Change Detection using Remote Sensing PROP CACHE challenge Thermopower in superconducting nanohybrids Stellar
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tendencies of moulding and core sands. China Foundry. 2011, roč. 8, č. 4, s. 438-446. ISSN 1672-6421. Detail JELÍNEK, Petr; MARKO, Ervín; LICHÝ, Petr a CAGALA, Michal. Die
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s. Springer, Berlin, 1992.17. N. Takahashi. Optimization of die press model. In Pro eedings of the TEAM Workshop in theSixth Round, Okayama, Japan, Mar h 1996.18.
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2007 Dordrecht, The Netherlands. ISBN 10 1-4020-5392-4. 9. GeoNetwork opensource community website. [Online] 2008. http://geonetwork-opensource.org/.
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Organization of the United Nations. [Online] 2007. http://www.fao.org/. 8. GeoNetwork opensource community website. [Online] 2007. http://geonetwork- opensource.org/.
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of 3D geometry extraction method for topological optimization. 2022. Detail BOROVEC, Karel and STÁŇA, Michal. Výzkum vlivu spalování na výstupu z FK. 2022. Detail
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of 3D geometry extraction method for topological optimization. 2022. Detail BOROVEC, Karel and STÁŇA, Michal. Výzkum vlivu spalování na výstupu z FK. 2022. Detail
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BABIUCH, Marek; KRYS, Václav and BOBOVSKÝ, Zdenko. Learning and Reconstruction of Mobile Robot Trajectories with LSTM Autoencoders: A Data-Driven Framework for Real-World