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(Ebook) Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications (Intelligent Data-Driven Systems and Artificial Intelligence) by Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah ISBN 9781032603179, 1032603178

  • SKU: EBN-58380994
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Instant download (eBook) Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications (Intelligent Data-Driven Systems and Artificial Intelligence) after payment.
Authors:Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah
Pages:375 pages.
Year:2024
Editon:1
Publisher:CRC Press
Language:english
File Size:2.92 MB
Format:pdf
ISBNS:9781032603179, 1032603178
Categories: Ebooks

Product desciption

(Ebook) Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications (Intelligent Data-Driven Systems and Artificial Intelligence) by Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah ISBN 9781032603179, 1032603178

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.
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