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Full Description
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.
Contents
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
