Computational Intelligence Methods for Green Technology and Sustainable Development: Proceedings of the International Conference Gtsd2024: Vol 1

Huang, Yo-ping (Editor)/ Wang, Wen-june (Editor)/ Le, Hieu-giang (Editor)/ Hoang, An-quoc (Editor)

ISBN 10: 3031761960 / ISBN 13: 9783031761966

Edité par Springer-Nature New York Inc, 2024

A propos de cet article

400 pages. 9.25x6.10x9.21 inches. In Stock.

N° de réf. du vendeur x-3031761960

Détails bibliographiques

• Titre: Computational Intelligence Methods for Green Technology and Sustainable Development: Proceedings of the International Conference Gtsd2024: Vol 1
• Éditeur: Springer-Nature New York Inc
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 3031761960
• ISBN à 13 chiffres: 9783031761966
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book is presented in two volumes, featuring peer-reviewed research papers from the 7th International Conference on Green Technology and Sustainable Development (GTSD), held in Ho Chi Minh City, Vietnam, from July 25 to 26, 2024. It highlights original research by experts from both academia and industry, centered on the theme of "Green Technology and Sustainable Development in the Industrial Revolution 4.0." The book underscores the critical importance of sustainability in education, technology, and economic development, while also showcasing the vital role of technological innovation in creating a greener future.

The papers documented in this book cover a broad range of topics, including renewable energy systems, smart grids, artificial intelligence, robotics and intelligent systems, and computational intelligence, all with a focus on sustainable development, climate change mitigation, and environmental policy. These studies showcase cutting-edge technologies and innovative ideas related to green technology, offering actionable insights for advancing sustainable development across various sectors.

The authors present research based on both experimental and numerical methods, offering solutions to current problems and optimizing existing methods. The insights and findings provided are valuable for industry experts, research institutions, universities, and anyone interested in advancing global sustainable development.