Advances in AI for Cloud, Edge, and Mobile Computing Applications (eBook, ePUB)

Redaktion: Kulkarni, Shrikaant; William, P.

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 8. Juli 2025
• Englisch
• ISBN-13: 9781040380840
• Artikelnr.: 73814219

Autorenporträt

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.

Inhaltsangabe

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