東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational intelligence methods f...

International Conference on Green Technology and Sustainable Development (2022 :)

FindBook

Google Book

Amazon

博客來

Computational intelligence methods for green technology and sustainable development = proceedings of the International Conference GTSD2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence methods for green technology and sustainable development/ edited by Yo-Ping Huang ... [et al.].
其他題名:	proceedings of the International Conference GTSD2022 /
其他題名:	GTSD 2022
其他作者:	Huang, Yo-Ping.
團體作者:	International Conference on Green Technology and Sustainable Development
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xii, 671 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Green technology - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-19694-2
ISBN:	9783031196942

Computational intelligence methods for green technology and sustainable development = proceedings 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. 567..

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

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

3226773
Green technology
--Congresses.

LC Class. No.: TA170

Dewey Class. No.: 338.927

Computational intelligence methods for green technology and sustainable development = proceedings of the International Conference GTSD2022 /
LDR:02589nmm a2200337 a 4500 001 2314947
003 DE-He213
005 20221214082026.0
006 m d
007 cr nn 008mamaa
008 230902s2023 sz s 0 eng d
020 $a 9783031196942 $q (electronic bk.)
020 $a 9783031196935 $q (paper)
024 7 $a 10.1007/978-3-031-19694-2 $2 doi
035 $a 978-3-031-19694-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA170
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 338.927 $2 23
090 $a TA170 $b .I61 2022
111 2 $a International Conference on Green Technology and Sustainable Development $n (6th : $d 2022 : $c Nha Trang, Vietnam) $3 3626879
245 1 0 $a Computational intelligence methods for green technology and sustainable development $h [electronic resource] : $b proceedings of the International Conference GTSD2022 / $c edited by Yo-Ping Huang ... [et al.].
246 3 $a GTSD 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xii, 671 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 567
520 $a 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.
650 0 $a Green technology $v Congresses. $3 3226773
650 0 $a Sustainable development $x Congresses. $3 535177
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
700 1 $a Huang, Yo-Ping. $3 3487049
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 567. $3 3626880
856 4 0 $u https://doi.org/10.1007/978-3-031-19694-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)