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 in improving quality of lives in smart cities.
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 in 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.
Inhaltsangabe
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
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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