Progressive Computational Intelligence, Information Technology, and Networking (Paperback)
Idioma: inglés
Editorial: Taylor & Francis Ltd, London, 2026
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- Nuevo

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Paperback. This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems. This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. It presents contemporary theories, practical implementations, and research trends that integrate AI, data-driven systems, and communication networks to solve real-world challenges in academia & industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9781041368120
- Título
- Progressive Computational Intelligence, Information Technology, and Networking (Paperback)
- Autor
- Poonam Nandal
- Editorial
- Taylor & Francis Ltd, London
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1041368127
- ISBN 13
- 9781041368120
This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.
The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.
This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems.
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Acerca del autor
Poonam Nandal is a professor at Department of Computer Science & Engineering, School of Engineering & Technology, Manav Rachna International Institute of Research and Studies (Deemed to be University), she is an esteemed academic and researcher with an impressive career spanning over 18 years. Her academic journey reached its pinnacle with a Ph.D. in Computer Science & Engineering from YMCA University of Science & Technology in 2017. Complementing this, she holds a master’s degree in computer engineering from Maharishi Dayanand University, Rohtak, showcasing a comprehensive educational background. Dr. Nandal scholarly impact is evidenced by her substantial contributions, including six patents and more than 50 research papers published in esteemed conferences and peer-reviewed journals. These publications are indexed in renowned databases such as Scopus, WoS, EBSCO, and UGC Care, underscoring her dedication to advancing knowledge in her field. Beyond her research, she actively participates in advisory and editorial capacities for respected peer-reviewed journals.
Tapas Kumar is an accomplished academic and researcher with a passion for advancing the field of computer science and engineering. His journey began with a Ph.D. from the Birla Institute of Technology, Mesra, where he focused on the innovative application of Cellular Automata in Image Processing. He holds a master’s degree in Computer Science from Guru Jambeshwar University and a B.E. from Amravati University. With over a decade of experience, he has supervised ten M.Tech thesis and guided more than 200 B.E./B. Tech students in their research and application-based projects. His commitment to mentorship has also led to the successful guidance of six Ph.D. scholars, with two current research scholars having submitted their thesis and four under his supervision making satisfactory progress. He has published 72 research articles, with 51 in refereed international journals and 15 presented at various conferences. His work has garnered 696 citations and an h-index of 11, reflecting my contributions to the academic community. He is passionate about fostering innovation and collaboration in research, and always eager to connect with like-minded professionals and explore new opportunities in the realm of computer science and engineering.
Meeta Singh is a Professor at the Department of Computer Science & Engineering, School of Engineering & Technology, Manav Rachna International Institute of Research and Studies (Deemed to be University), she is a distinguished academician and researcher with over 22 years of experience in the field of Computer Science & Engineering. She earned her Ph.D. in Computer Science & Engineering from Bhagwant University, Ajmer, in 2015. Her academic portfolio also includes an M.Tech in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi (2007), and an M.Sc in Electronics from Banasthali Vidyapeeth, Rajasthan (1999), demonstrating a robust and multidisciplinary educational foundation. Dr. Singh has made significant contributions to her field, holding six patents and publishing more than 40 research papers in esteemed conferences and peer-reviewed journals. Many of these works are indexed in Scopus, WoS, EBSCO, and UGC Care, underscoring her commitment to advancing research and innovation. She also serves in advisory and editorial capacities for prominent academic journals.
Mamta Dahiya has over 23 years of experience in academia, industry, and research. She was closely associated with research and development in the field of spatial data analytics, retrieval, Pattern Recognition, Data Science, Machine Learning, and Information Security, focusing on multiple aspects of societal problems. She has completed her Doctorate in Computer Science and Engineering from Deenbandhu Chotu Ram University of Science and Technology, Murthal. She has a Masters in Technology in Computer Science & Engineering with a Gold Medal. She has almost 85 research publications in various international and national journals of repute and conferences. She has 20 Indian and international patents granted and published. She has authored and edited multiple books with international publishers. She holds professional memberships in societies like IEEE, LMCSI, IJHEPS, and LMSGSD. She has completed eight research projects funded by national and international funding agencies. She has recently completed the Consultancy on “Asian Metropolis” services to carry out the full process of research, analysis, and elaboration of the contents of the publication “Asian Metropolitan Report” with Metropolis, Barcelona, Spain, and “Technology Implementation for Water Management System in Gurugram” a Department of Science Technology sponsored project. She has held various esteemed positions throughout her career, including Dean of the Faculty of Engineering & Technology, Research Track Professor, Program Director, Board of Studies (BOS)/DRC Member, Research and Development (R&D) Chair, ICC Chairperson, etc. Her unwavering commitment to academic excellence, innovation, and integrity has driven her efforts in each role, impacting the institution, faculty, and students she has served.
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