株式会社極東書店トップ商品一覧Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications.

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Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications.

Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications.

・ISBN 978-1-032-80318-0 paper GB£ 67.99

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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 9781003496410
著者・編者Khan, Inam Ullah / Ouaissa, Mariya / Ouaissa, Mariyam / Fayaz, Muhammad / Ullah, Rehmat (eds.),
シリーズ (Intelligent Data-Driven Systems and Artificial Intelligence)
出版社 (CRC Press, UK)
出版年月2026
ページ数344 pp.
言語ENG
ニュース番号<A05-65870>

解説

The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic.

This book:

  • Provides a better understanding of artificial intelligence-based applications for future smart cities
  • Presents a detailed understanding of artificial intelligence tools for intelligent technologies
  • Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence
  • Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs)
  • Covers machine learning-based Intrusion detection system (IDS) for smart grid

It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.