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Titlebook: Data Analysis and Optimization for Engineering and Computing Problems; Proceedings of the 3 Pandian Vasant,Igor Litvinchev,Felix Martinez-R

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發(fā)表于 2025-3-21 17:56:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Analysis and Optimization for Engineering and Computing Problems
副標(biāo)題Proceedings of the 3
編輯Pandian Vasant,Igor Litvinchev,Felix Martinez-Rios
視頻videohttp://file.papertrans.cn/263/262654/262654.mp4
概述Presents the proceedings of The 3rd EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019).Covers innovations and applications of optimization
叢書名稱EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Data Analysis and Optimization for Engineering and Computing Problems; Proceedings of the 3 Pandian Vasant,Igor Litvinchev,Felix Martinez-R
描述.This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems..
出版日期Conference proceedings 2020
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications; Optimization; Machine Learn
版次1
doihttps://doi.org/10.1007/978-3-030-48149-0
isbn_softcover978-3-030-48151-3
isbn_ebook978-3-030-48149-0Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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2522-8595 e for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems..978-3-030-48151-3978-3-030-48149-0Series ISSN 2522-8595 Series E-ISSN 2522-8609
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