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in Czech) MYNARZ, Miroslav, ŠIMONÍK, Zdeněk (2010). Assessment Methods for Explosion Load Parameters of Chosen Building Structure. Spektrum, Ostrava, 2010, vol. 10, no. 2, p. 24-
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Diplomová práce. Plzeň, 2006. [10] RAVIKANTH, V.; KOTHURI, A., G.; EURO B.: Pro Oracle Spatial for Oracle Database 11g. Apress, 2007.
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They are the target of Civil Protection, the reason why infrastructures are run and why measures for their protection are taken at all. In addition to being the reason for the other stakeholders’ actions, they bear a great responsibility
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Design of an internet of things based real-time monitoring system for retired patients. Bulletin of Electrical Engineering and Informatics. 2021, 10(3), 1648-1657.
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Sn�elov�, Optimization of heat treatment of Nd-Fe-B-based alloys for preparation of high coercivity permanent magnets, in: METAL 2015, 24th international conference
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Full rankness of at least one 4 × 4 submatrix of the 8 × 4 EOJ is sufficient to guarantee local observability [18]. Expressions for the higher-order derivatives
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GDMS-R: A mixed SQL to manage raster and vector data Spatial Data Infrastructure 26 Kili�nov�, H., Mi�ijovsk�, J. & Pechanec, V. Vyu�it� metod DPZ p�i prostorov�ch anal�z�ch ekoton� Use of remote sensing methods
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Gaseous fire-extinguishing systems - Physical properties and system design. Geneve: International Organization for Standardization, 2005 [26] NFPA 2001. Standard
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25] D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in International Conference on Learning Representations (ICLR), 2015. [26
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Dąbrowa Górnicza: Wydawnictwo Naukowe Akademii WSB, 2021. ISBN 978-83-66794-26-9. Detail BHATTACHARYYA, S.; MODAL, N.K.; PLATOŠ, Jan; SNÁŠEL, Václav a KRÖMER, Pavel. Intelligent Environmental Data Monitoring
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Dąbrowa Górnicza: Wydawnictwo Naukowe Akademii WSB, 2021. ISBN 978-83-66794-26-9. Detail BHATTACHARYYA, S.; MODAL, N.K.; PLATOŠ, Jan; SNÁŠEL, Václav a KRÖMER, Pavel. Intelligent Environmental Data Monitoring
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Unveiling the potential of composite water-swollen spiral wound membrane for design of low-cost raw biogas purification. Separation and Purification Technology.
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For a test point x, we identify the k nearest neighbors in our dataset D. The predicted value (e.g. for cost j) for
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Pose Prediction Loss Functions We considered four loss functions and evaluated them on a subset of the synthetic dataset consisting of synthetic blue funnel object images. We used an initial