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Titlebook: Sustainable Intelligent Systems; Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós Book 2021 The Editor(s) (if applicable) and The Author

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發(fā)表于 2025-3-21 19:07:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Sustainable Intelligent Systems
編輯Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós
視頻videohttp://file.papertrans.cn/884/883366/883366.mp4
概述Discusses research findings in the field of sustainable intelligent systems.Focuses on technology solutions to improve the social fabric.Serves as a reference resource for researchers and practitioner
叢書名稱Advances in Sustainability Science and Technology
圖書封面Titlebook: Sustainable Intelligent Systems;  Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós Book 2021 The Editor(s) (if applicable) and The Author
描述.This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers..
出版日期Book 2021
關鍵詞Data Science; SDG’s; Intelligent Systems; Data -centric Computing; Societal Impacts; Sustainable Society;
版次1
doihttps://doi.org/10.1007/978-981-33-4901-8
isbn_softcover978-981-33-4903-2
isbn_ebook978-981-33-4901-8Series ISSN 2662-6829 Series E-ISSN 2662-6837
issn_series 2662-6829
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Sustainable Intelligent Systems978-981-33-4901-8Series ISSN 2662-6829 Series E-ISSN 2662-6837
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Jose A. Brenes,Markus Eger,Gabriela Marín-Raventós
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Julian Kakarott,Kai Hendrik W?hnert,Jonas Schwarz,Volker Skwarek
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Performance Analysis of Classification Algorithms Used for Software Defect Prediction,n setting of tenfolds cross-validation which was being applied on PROMISE repository datasets AR1, AR3, AR4, AR5 and AR6 so as to measure the performance of various algorithms on parameters like accuracy or correctly classified instances, recall, F-measure, precision and ROC measure values, and fina
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