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Titlebook: Data Science and Intelligent Systems; Proceedings of 5th C Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proceedings 2021 The Edit

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書目名稱Data Science and Intelligent Systems
副標題Proceedings of 5th C
編輯Radek Silhavy,Petr Silhavy,Zdenka Prokopova
視頻videohttp://file.papertrans.cn/264/263097/263097.mp4
概述Presents the real-world problems related to data science and algorithm design.Provide an international forum for the discussion of the latest high-quality research results.Describes novel approaches i
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Data Science and Intelligent Systems; Proceedings of 5th C Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proceedings 2021 The Edit
描述This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included..The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results.
出版日期Conference proceedings 2021
關鍵詞Software Engineering; Software Engineeering Applications; CoMeSySo; Computational Methods in Systems an
版次1
doihttps://doi.org/10.1007/978-3-030-90321-3
isbn_softcover978-3-030-90320-6
isbn_ebook978-3-030-90321-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Data Science and Intelligent Systems影響因子(影響力)




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書目名稱Data Science and Intelligent Systems網絡公開度學科排名




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書目名稱Data Science and Intelligent Systems被引頻次學科排名




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Ichiro Nakayama,Yoshiyuki Tamuraformation processing and create an analytical platform for analyzing information, further testing and subsequent evaluation of the stability of technological processes for the production of electronic equipment and the effectiveness of the QMS.
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Scalable Architecture of Distributed Control System for Industrial Greenhouse Complexes,s feature allows you to increase the reliability of the system and continue working in the event of a loss of connection with the cloud, as well as to exclude emergencies in the event of a loss of communication between the modules.
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