Advances in AI for Cloud, Edge, and Mobile Computing Applications

by Shrikaant Kulkarni (Editor), P. William (Editor)

Overview

This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience.

First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.

Product Details

ISBN-13:	9781040380840
Publisher:	Apple Academic Press
Publication date:	07/08/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	392
File size:	13 MB
Note:	This product may take a few minutes to download.

About the Author

Shrikaant Kulkarni, PhD, is an Adjunct Professor of Business at the Victorian Institute of Technology, Melbourne, Australia, as well as an Adjunct Professor at the Centre of Research Outcome and Impact at Chitkara University, Punjab, India. He has delivered lectures and conducted sessions at conferences and faculty development programs and has guided many projects in industrial organization, management, AI, etc. He has published over 100 research papers in journals and conferences, authored more than 50 book chapters, edited 25 books, and authored four textbooks in engineering chemistry. He has also published two patents and applied for two more.

P. William, PhD, is the Dean of Research and Development and Assistant Professor of Information Technology at Sanjivani College of Engineering, SPPU, Pune, India. He has published many papers in Scopus-indexed journals and in IEEE conference proceedings. He has been associated with numerous multinational companies, including IBM, TATA Consultancy Services Limited (TCS), and various educational groups. He has served as session chair and keynote speaker at multiple Scopus-indexed international conferences and is a reviewer for reputed Scopus/WOS-indexed journals.

Table of Contents

Part I: Computational Intelligence: Edge AI Services 1. Power Trading Framework of Cloud-Edge Computing in an Artificial Intelligence Bazaar 2. Anomaly Detection Using Artificial Intelligence in a Cloud Fuzzy Environment 3. Holistic Resource Management Based on AI and Sustainable Cloud Computing Part II: Computational Intelligence: Edge AI Security and Privacy 4. Application of Artificial Intelligence for Enhancement of Privacy and Security in Smart Environment 5. Application of Artificial Intelligence in Wireless Sensor Network Through Quality of Services Enhancement 6. Recent Advancements of Artificial Intelligence in Edge Computing Part III: Computational Intelligence: Edge Computing and AI Applications 7. Future Innovations Using Edge Computing Infrastructure in IoT Applications 8. Understanding the Growth of Edge Computing with Artificial Intelligence 9. Perspectives of Machine Learning in the Convergence of Artificial Intelligence and Edge Computing 10. Applications, Enabling Technologies, Vision of Edge Artificial Intelligence for 6G Part IV: Computational Intelligence: IoT Systems 11. AI Products in E-Commerce and Commercial Bank 12. Sustainable Green Human Resource Management Using Artificial Intelligence 13. Natural Resource Management and Artificial Intelligence for Sustainable Development 14. A Sustainable Development Goal Perspective Using Business Models and Artificial Intelligence 15. Different Requirements in Quality of Service Using an Adaptive Network Algorithm