Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies

Tanwar, Rohit (Editor)/ Bhatia, Surbhi (Editor)/ Sapra, Varun (Editor)/ Ahuja, Neelu Jyoti (Editor)

ISBN 10: 103248294X / ISBN 13: 9781032482941

Published by CRC Pr I Llc, 2025

About this Item

154 pages. 9.18x6.12x9.21 inches. In Stock.

Seller Inventory # x-103248294X

Bibliographic Details

• Title: Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies
• Publisher: CRC Pr I Llc
• Publication Date: 2025
• Language: English
• ISBN 10: 103248294X
• ISBN 13: 9781032482941
• Binding: Paperback
• Condition: Brand New
• Weight: 0.28 kilograms

About this title

Synopsis

This book focuses on artificial intelligence (AI) and machine learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems. This concise reference book offers a broad overview of the most important trends and discusses how these trends and technologies are being created and employed in the applications in which they are being used.

Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances.

With contributions from experts in the field, this reference book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.

About the Author

Rohit Tanwar, PhD, is an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, Misraspatti, India.

Surbhi Bhatia Khan, PhD, a Lecturer in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom.

Varun Sapra, PhD, is presently associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Before joining academia, he was in the corporate sector and worked at Cupid Software, Web Opac Applications, CMA, and many more.

Neelu Jyothi Ahuja, PhD, is a Professor and Head of the Department of Systemics at the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.