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Vaclav Snasel

Vaclav SnaselVaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information rtrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applications to various real-world problems. He has authored/co-authored several refereed journal/conference papers and book chapters. In 2003 he became a visiting scientist in the Institute of Computer Science, Academy of Sciences of the Czech Republic. Since 2003 he has been vice-dean for Research and Science at Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic. He has been a full professor since 2006. Before turning into a full time academic, he was working with industrial companies where he was involved in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Algebra and Geometry from Masaryk University, Brno, Czech Republic and a Master of Science degree from Palacky University, Olomouc, Czech Republic. Read More Read Less

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Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics 202437 %
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Hybrid Computational Intelligence45 %
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₹7,961
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06 Mar 2020
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Intelligent Environmental Data Monitoring for Pollution Management45 %
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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 137 % NR
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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 237 % NR
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International Conference on Innovative Computing and Communications37 %
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Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems37 %
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International Conference on Innovative Computing and Communications37 %
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Intelligent Data analysis and its Applications, Volume I
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Afro-European Conference for Industrial Advancement37 %
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Intelligent Systems for Computer Modelling37 %
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14 Feb 2016
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Intelligent Data analysis and its Applications, Volume II
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