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Full Description
This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions.
The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications.
The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.
Contents
1. Artificial Intelligence (AI): Futuristic Issues and Applications. 2. Introduction to Artificial Intelligence (AI) and its Types.
3. Artificial Intelligence Architecture. 4. Tools, Techniques and Technologies in AI. 5. Algorithms in AI. 6. AI Enabling Technologies. 7. ABC: Artificial Intelligence, Big Data and Cloud Computing. 8. Artificial Intelligence vs. Machine Learning vs. Deep Learning. 9. AI for Data Mining and Knowledge Discovery. 10. Role of AI in Information Technology. 11. AI in Computer Vision. 12. Generative Adversarial Network (GAN) and it's Applications. 13. Smart Transportation & Smart Vehicles using AI.
Chapter 14. Smart Grid Computing & Technologies with AI. 15. Application of AI in Supply Chain Management. 16. Geographical Information System through Artificial Intelligence. 17. Smart City with AI. 18. Applications of AI in Healthcare Industry. 19. AI - based Security and Intrusion Detection. 20. Smart AI and it's Applications. 21. AI in Future Communications and Computing.
