Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing

by Shrikaant Kulkarni (Editor), P. William (Editor), Vijaya Prakash (Editor), Jaiprakash Narain Dwivedi (Editor)

Overview

In an era defined by rapid technological advancements, the convergence of artificial intelligence (AI) with cloud, edge, fog, and mobile computing is transforming the landscape of computing and data processing. These emerging technologies are not only enhancing computational capabilities but also paving the way for innovative applications across diverse industries, from healthcare and finance to transportation and entertainment.

Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing explores the symbiotic relationship between AI and these computing paradigms. As AI continues to evolve, its integration with cloud, edge, fog, and mobile computing platforms is unlocking new potentials and driving efficiencies and enabling real-time, intelligent decision-making processes.

The book begins with an in-depth examination of the foundational principles of cloud, edge, fog, and mobile computing, followed by a detailed analysis of how AI technologies are being embedded within these frameworks. It then delves into the unique advantages and challenges of each paradigm, highlighting their roles in facilitating seamless, decentralized data processing and enhancing user experiences.

The book is structured to provide a comprehensive understanding of the current state and future directions of AI in these computing environments.

The book is intended to serve as a resource and inspiration for those seeking to explore the vast potential of AI in the realms of cloud, edge, fog, and mobile computing. Its goal is to spark new ideas, foster innovation, and contribute to the ongoing dialogue on the future of intelligent computing.

Product Details

ISBN-13:	9781032699523
Publisher:	CRC Press
Publication date:	09/15/2025
Series:	Advances in Computational Collective Intelligence
Pages:	332
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Dr. Shrikaant Kulkarni is an adjunct professor in the Science and Technology Department, Vishwakarma University, Pune, India.

Dr. P. William is the Dean of Research and Development and an assistant professor in the Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, India.

Dr. Vijaya Prakash is a professor at the Department of Computer Science and Engineering, SR University, Warangal, India.

Dr. Jaiprakash Narain Dwivedi is an associate professor at the IT Department, Parul Institute of Engineering and Technology, Faculty of Engineering and Technology, Parul University, India.

Table of Contents

I. Harnessing the Potential of AI in Cloud Computing 1. Working Towards a Comprehensive Approach for Ensuring Security and Privacy in Artificial Intelligence 2. Knowledge Modelling and the Significance of Ontology in Educational Domain II. Using AI to the Advantage of Fog Computing 3. Security and Privacy Analysis Using AI-Based Machine Learning Methods 4. Security and Privacy in Advanced AI 5. Evolution of Artificial Intelligence: Research Topics, Trends, and Future Directions III. Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud Computing 7. An Intelligent Fault Predictive System in the Industrial Internet of Things that Uses Condition Monitoring IV. Advancing AI in Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease Detection and Prevention System 9. Captureshield: A Deep Dive into Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big Data Analytics V. Case Studies and Applications of AI in Computing 12. Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving the Way towards Environmental Stewardship 13. Elevating Education: Exploring Chatbots and Their Significance in the Academic Realm 14. Green Energy Management for Smart Homes that Leverages Big Data Analytics and IoT 15. Collaborative Computing of Big Data and Internet of Things Applications in Smart Environments 16. A Systematic and Analytical Review on Drowsiness Detection System-Based Real-Time Application