Artificial Intelligence for Intelligent Systems; Fundamentals, Challenges, and Applications by Inam Ullah Khan; Mariya Ouaissa; Mariyam Ouaissa; Muhammad Fayaz; Rehmat Ullah

Author:Inam Ullah Khan; Mariya Ouaissa; Mariyam Ouaissa; Muhammad Fayaz; Rehmat Ullah
Format: pdf
Tags: 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 health care, transportation, blockchain, 5.0 industry, and deep learning for better decision-making. AI-enabled networks will be integrated in the 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 networks. 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 and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering., Intelligent Transportation; Wireless Communication; Intrusion Detection System; Green Computing; Data Traffic Management; Machine Learning
Publisher: CRC Press
Published: 2025-06-15T00:00:00+00:00


Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.