Skip to main content

Computational Intelligence Methods for Green Technology and Sustainable Development

Proceedings of the International Conference GTSD2022

  • Conference proceedings
  • © 2023

Overview

  • Provides recent advances in Green Technology and Sustainable Development in Industrial Revolution 4.0
  • Presents selected papers from the 6th International Conference on Green Technology and Sustainable Development
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 567)

Included in the following conference series:

Conference proceedings info: GTSD 2022.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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. Throughthorough 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.

Similar content being viewed by others

Keywords

Table of contents (60 papers)

Other volumes

  1. Computational Intelligence Methods for Green Technology and Sustainable Development

Editors and Affiliations

  • National Penghu University of Science and Technology, Magong City, Taiwan

    Yo-Ping Huang

  • Department of Electrical Engineering, National Central University, Zhongli, Taiwan

    Wen-June Wang

  • HCMC University of Technology and Education, Ho Chi Minh City, Vietnam

    Hoang An Quoc, Hieu-Giang Le

  • Nha Trang University, Nha Trang City, Vietnam

    Hoai-Nam Quach

Bibliographic Information

  • Book Title: Computational Intelligence Methods for Green Technology and Sustainable Development

  • Book Subtitle: Proceedings of the International Conference GTSD2022

  • Editors: Yo-Ping Huang, Wen-June Wang, Hoang An Quoc, Hieu-Giang Le, Hoai-Nam Quach

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-19694-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-19693-5Published: 15 December 2022

  • eBook ISBN: 978-3-031-19694-2Published: 14 December 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XII, 671

  • Number of Illustrations: 74 b/w illustrations, 363 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Energy Policy, Economics and Management

Publish with us