Computational Intelligence Methods for Green Technology and Sustainable Development Computational Intelligence Methods for Green Technology and Sustainable Development
Lecture Notes in Networks and Systems

Computational Intelligence Methods for Green Technology and Sustainable Development

Proceedings of the International Conference GTSD2022

Yo-Ping Huang και άλλοι
    • 239,99 €
    • 239,99 €

Περιγραφή εκδότη

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.

ΕΙΔΟΣ
Υπολογιστές και Διαδίκτυο
ΚΥΚΛΟΦΟΡΗΣΕ
2022
14 Δεκεμβρίου
ΓΛΩΣΣΑ
EN
Αγγλικά
ΑΡ. ΣΕΛΙΔΩΝ
683
σελίδες
ΕΚΔΟΤΗΣ
Springer International Publishing
ΣΤΟΙΧΕΙΑ ΠΑΡΟΧΟΥ
Springer Science & Business Media LLC
ΜΕΓΕΘΟΣ
135,5
MB
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