株式会社極東書店トップ商品一覧Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.

商品詳細

Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.

Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.

・ISBN 978-1-032-11502-3 hard GB£ 145.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781003220176
著者・編者Lal Kolhe, Mohan / J. Karande, Kailash / G. Deshmukh, Sampat (eds.),
シリーズ (Smart Engineering Systems: Design and Applications)
出版社 (CRC Press, UK)
出版年月2022
ページ数300 pp.
言語ENG
ニュース番号<A01-72557>

解説

This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.

The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.

This book:

  • Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologies
  • Covers intelligent techniques in materials progression for sensor development and energy material characterization using signal processing
  • Examines the integration of phase change materials in construction for thermal energy regulation in new buildings
  • Explores the current happenings in technology in conjunction with basic laws and mathematical models

Connecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science.