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Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2022 /

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 GTSD2022 /
remainder title:	GTSD 2022
other author:	Huang, Yo-Ping.
corporate name:
Published:	Cham :Springer International Publishing :2023.
Description:	xii, 671 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Green technologyCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-19694-2
ISBN:	9783031196942$q(electronic bk.)

Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2022 /
Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2022 /[electronic resource] :GTSD 2022edited by Yo-Ping Huang ... [et al.]. - Cham :Springer International Publishing :2023. - xii, 671 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 5672367-3389 ;. - Lecture notes in networks and systems ;v.1..

This book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme "Green technology and sustainable development in Industrial Revolution 4.0" not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.

ISBN: 9783031196942$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19694-2doiSubjects--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 GTSD2022 /
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