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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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发表于 2025-3-21 19:07:03 | 显示全部楼层 |阅读模式
书目名称Sustainable Intelligent Systems
编辑Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós
视频video
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
丛书名称Advances in Sustainability Science and Technology
图书封面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
关键词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
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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 Wöhnert,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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