Innovations in Computing
Published on 1. October 2025
714 pages
978-1-040-56916-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
File size
271,00 MB
ISBN-13
978-1-040-56916-0 (9781040569160)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sushil Kamboj | Pardeep Singh Tiwana
Innovations in Computing
Book
10/2025
1st Edition
CRC Press
€292.50
Shipment within 15-20 days
Persons
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.
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.
Content
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
