The Smart Life Revolution

This book explores the integration of Artificial Intelligence (AI) across areas such as IoT, big data, healthcare, business, economics, and security, and improving the quality of life (QoL) in smart cities today. By looking in depth at the different application areas of AI, the reader learns about the broad and impactful ways AI is transforming our world, its profound influence in enhancing service efficiency, personalization, accessibility, and fostering both scientific and social advancement. The editors consider the importance of bridging theory and practice by offering a practical understanding of how key AI technologies can be applied in real-world scenarios for QoL. By covering both foundational concepts and advanced applications with case studies and practical examples, this approach ensures the reader obtains a comprehensive understanding of the technologies and their impact. An innovation mindset is emphasized with discussion about the challenges, opportunities, future trends, and potential research directions to prepare readers for ongoing technological advancements. The book takes an interdisciplinary approach by integrating knowledge from computer science, engineering, and social sciences, to offer a holistic view of technology's role in society. This book serves as a valuable resource for both undergraduate and postgraduate students in the study of AI applications in society. The book may be used for researchers and communities to identify the different challenges associated with key technologies for building new applications for improving quality of lives in smart cities.

Tee Connie serves as a Professor at Faculty of Information Science and Technology at Multimedia University. Her research interests cover the areas of computer vision, image processing, and machine learning. She has published more than 100 scientific international publications in these areas. Thian Song Ong works at the Faculty of Information Sciences and Technology (FIST), Multimedia University. His research interests include machine learning and biometric security. He has published more than 80 articles in internationally refereed journals and conferences and is a senior member of IEEE. Md Shohel Sayeed has been a member of Multimedia University since 2001, and now he serves as Professor under the Faculty of Information Science and Technology. His core research interest is in the area of Biometrics, big data, and artificial intelligence. He is a Senior Member of IEEE.

1. Resilience Thinking Artificial Intelligence Integration Framework 2. Alertness Analytics: AI-Enhanced Detection of Driver Fatigue and Intoxication 3. Traffic Analysis and Smart Traffic Management Using YOLO 4. Revolutionizing Agriculture with AI 5. AI in Disaster Monitoring and Early Warning Systems 6. Economic Inequality Analysis and Machine Learning 7. AI for Healthcare: Revolutionizing Public Wellness in Smart Cities 8. Biometrics and Authentication 9. Artificial Intelligence in Digital Marketing Analytics 10. Churn Prediction Using Machine Learning in Telecommunication Industry 11. Artificial Intelligence in Bioinformatics and -omics 12. Charting the Future of AI in the Next Decade: Emerging Trends and Conclusions

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