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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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Contract research for FUTTEC a.s., within the AI TEF Ostrava initiative, project name: “AI- Supported Surface Defect Detection and Analysis for Mobile Systems”,
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dátových sietí, podmienkou, ktorú mapa pokrytia musela spĺňať, bolo zohľadnenie pokrytia signálov mobilnými operátormi. Spoločnosti O2 a T-mobile, dominantný operátori
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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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Český červený kříž, 2017, Rozdělovská 2467/63, 169 00 Praha 6 ISBN: 978-80-87729-22-9 75 ES KÝ ERVENÝ K Í PRVNÍ POMOC V MOBILU APLIKACE ČESKÉHO ČERVENÉHO KŘÍŽE Víte,
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Lingping a ZHAO, J.. Surrogate-assisted sine Phasmatodea population evolution algorithm applied to 3D coverage of mobile nodes. Online. Complex & Intelligent
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is developed and in section IV the model is applied to a mobile multi-body system inspired by motile bacteria. The paper ends with a conclusive section and an accompanyin
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values were selected to cover the potential range of registration difficulty in the case of mobile robots, with the assumption that a robot equipped with a lidar
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square root inverse filter [18], which demonstrates the possibility of operating a stereo VIO online efficiently, even on a mobile device. Since the implementations
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A. Ghaffarkhah and Y. Mostofi, “Communication-aware motion plan- ning in mobile networks,” IEEE Trans. Autom. Control, vol. 56, no. 10, pp. 2478–2485, 2011. [17]
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Construction Materials 2021 2021 RPP2021/101 Student mobile robot for international competitions 2021 2021 RPP2021/23 Additive technology 2021 2021 RPP2021/45 Material
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Mobile fencing Surface or spatial retarders portable barriers restricting free vehicle entry … Wireless SEAS Key: Normal
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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