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Computational intelligence methods f...
~
(1998 :)
Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational intelligence methods for green technology and sustainable developmentedited by Yo-Ping Huang ... [et al.].
Reminder of title:
proceedings of the International Conference GTSD2020 /
remainder title:
GTSD 2020
other author:
Huang, Yo-Ping.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xii, 651 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Green technologyCongresses.
Online resource:
https://doi.org/10.1007/978-3-030-62324-1
ISBN:
9783030623241$q(electronic bk.)
Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2020 /
Computational intelligence methods for green technology and sustainable development
proceedings of the International Conference GTSD2020 /[electronic resource] :GTSD 2020edited by Yo-Ping Huang ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 651 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12842194-5357 ;. - Advances in intelligent systems and computing ;176..
This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020. It highlights the importance of sustainability as well as promotes up-to-date innovation and research for green development in technologies, economics and education among countries. The conference provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their advances, knowledge and experience on various interdisciplinary topics related to the theme of "Green technology and sustainable development in industrial revolution 4.0". The book is a valuable resource for researchers, analysts, engineers, practitioners and policymakers who are interested in the latest findings in artificial intelligence, cyber systems, robotics, green energy and power systems, mechanical and computational mechanic models and advanced civil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines.
ISBN: 9783030623241$q(electronic bk.)
Standard No.: 10.1007/978-3-030-62324-1doiSubjects--Topical Terms:
453003
Green technology
--Congresses.
LC Class. No.: TA170
Dewey Class. No.: 338.927
Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2020 /
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This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020. It highlights the importance of sustainability as well as promotes up-to-date innovation and research for green development in technologies, economics and education among countries. The conference provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their advances, knowledge and experience on various interdisciplinary topics related to the theme of "Green technology and sustainable development in industrial revolution 4.0". The book is a valuable resource for researchers, analysts, engineers, practitioners and policymakers who are interested in the latest findings in artificial intelligence, cyber systems, robotics, green energy and power systems, mechanical and computational mechanic models and advanced civil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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1
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000000193769
電子館藏
1圖書
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EB TA170 .I61 2020 2021
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1 records • Pages 1 •
1
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https://doi.org/10.1007/978-3-030-62324-1
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