Innovations in Computing

Author:   Sushil Kamboj ,  Pardeep Singh Tiwana
Publisher:   Taylor & Francis Ltd
ISBN:  

9781041099635


Pages:   692
Publication Date:   01 October 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Innovations in Computing


Overview

This book presents cutting-edge research, emerging trends, and groundbreaking innovations in the field of computing. It offers insights into real-world applications that leverage computational methods and the ever-evolving landscape of machine learning. This title comprises a selection of papers that reflect a dynamic exchange of ideas in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence. With practical solutions illustrated through case studies and examples, this book will be a useful technical guide for solving real-world challenges. This book serves as a gateway for researchers, academicians, undergraduate and post graduate students, and professionals to explore the forefront of computational innovation and the dynamic advancements transforming computer science.

Full Product Details

Author:   Sushil Kamboj ,  Pardeep Singh Tiwana
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.480kg
ISBN:  

9781041099635


ISBN 10:   1041099630
Pages:   692
Publication Date:   01 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Iris Image Authentication by the detection of parallel eyelid blinks on both eyes together 2. Unsupervised Machine learning for e-learning data analysis: A case study 3. Comparative Analysis of Traditional and Hybrid Models in Short-Term Financial Forecasting Using Machine Learning 4. Enhancing Conversational AI with Memory-Augmented Networks for Context-Aware Dialogue Systems

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Author Information

Sushil Kamboj is a distinguished Professor and Head of the Computer Science and Engineering (CSE) Department, with over 20 years of experience in academia and research. Renowned for his expertise in Computer Networks, Dr. Kamboj has made significant contributions to the field through his innovative research, teaching excellence, and leadership. He is dedicated to fostering academic growth and developing cutting-edge solutions to complex technological problems. Pardeep Singh Tiwana is currently working as Assistant professor in the department of Computer Science & Engineering at CGC College of Engineering, Landran, Mohali, Punjab. He is a career academician with nearly 8 years of experience in teaching, research and academic outreach activities. He earned his B.Tech., MTech. and Ph.D. in Computer Science and Engineering. He has primarily specialization research in Software defined networking and Wireless networking. He has over 30 publications to his credit in widely circulated journals of national and international repute.

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