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Full Description
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.
Contents
I. Recent Trends and Challenges of Artificial Intelligence. 1. Unleashing the Power of Artificial Intelligence: Exploring Multidisciplinary Frontiers for Innovation and Impact. 2. Advancements in Deep Learning: Unveiling Future Trends and Applications Across AI for Intelligent Computing. 3. Comprehensive Comparative Analysis of Artificial Intelligence, Machine Learning, and Deep Learning. 4. Applications of Artificial Intelligence in Smart Distributed Processing and Big Data Mining. 5. Quantum AI: Uniting the Future of Smart Technologies. II. Secure Artificial Intelligence in Computing Systems. 6. The Significance of Artificial Intelligence in Cyber Security. 7. Securing the Internet of Things with Blockchain. 8. Data Traffic Management In AI-IoT Network to Reduce Congestion. 9. Artificial Intelligence Enabled Anomaly-IDS for IoT-Network: Trends, Solutions & Challenges. III. Big Data Analytics Applying in Current Applications. 10. Big Data Intelligence in Health Care. 11. Trends and Challenges in Harnessing Big Data Intelligence for Healthcare Transformation. 12. Improving Hepatitis C Diagnosis using Machine Learning Techniques: An Experimental Analysis. 13. A Step Towards the Detection of Alzheimer's Disease using Ensemble Learning. 14. Exploring the Use of Machine Learning Algorithms in Early Detection of Liver Disease. 15. Intelligent Transportation Channels for Smart Cities. 16. Digital Twins for Industry 4.0 and 5.0
