Intelligent Vision and Computing : Proceedings of ICIVC 2025, Volume 3
Language: English
Published by Birkhäuser, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Druck auf Anfrage Neuware - Printed after ordering - This book includes selected papers presented at 5th International Conference on Intelligent Vision and Computing (ICIVC 2025), held at The ICFAI University, Dehradun, India, during 13 14 June 2025. The conference proceedings is a collection of high-quality research articles in the field of intelligent vision and computing. The topics covered in the book are artificial intelligence, machine learning, deep learning, internet of things, information security, embedded systems, cloud computing, quantum computing, bio-inspired intelligence, cyber-physical systems, hybrid systems, intelligence for security, data mining, evolutionary optimization, swarm intelligence, signal processing, blockchain technology, big data applications, natural language processing, data acquisition, storage and retrieval for big data, data representation, processing, imaging sensors technology, features extraction, image segmentation, deep learning, convolutional neural network, biometrics recognition, biomedical imaging, intelligent transport systems, and human computer interaction.…
Seller Inventory # 9783032106698
- Title
- Intelligent Vision and Computing : Proceedings of ICIVC 2025, Volume 3
- Author
- Mukesh Prasad
- Publisher
- Birkhäuser
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3032106699
- ISBN 13
- 9783032106698
- Item weight
- 785 grams
- Dimensions
- 235x155x29 mm
This book includes selected papers presented at 5th International Conference on Intelligent Vision and Computing (ICIVC 2025), held at The ICFAI University, Dehradun, India, during 13–14 June 2025. The conference proceedings is a collection of high-quality research articles in the field of intelligent vision and computing. The topics covered in the book are artificial intelligence, machine learning, deep learning, internet of things, information security, embedded systems, cloud computing, quantum computing, bio-inspired intelligence, cyber-physical systems, hybrid systems, intelligence for security, data mining, evolutionary optimization, swarm intelligence, signal processing, blockchain technology, big data applications, natural language processing, data acquisition, storage and retrieval for big data, data representation, processing, imaging sensors technology, features extraction, image segmentation, deep learning, convolutional neural network, biometrics recognition, biomedical imaging, intelligent transport systems, and human–computer interaction.
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About the Author
Dr. Apu Kumar Saha is working as Professor in the Department of Mathematics, National Institute of Technology Agartala. He completed his M.Sc. degree in mathematics from Tripura University with gold medal and completed his Ph.D. from NIT Agartala. He is Active Researcher for the past ten plus years. His fields of research are population-based optimization algorithms, multi-criteria decision-making, computational fluid dynamics, topological spaces. He has published over a hundred papers in reputed international journals, two books, fifteen book chapters, and over forty international conferences. Ten candidates received Ph.D. under his guidance, and five more candidates are currently pursuing Ph.D. under him.
Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in Department of Computer Science and Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in computer engg. from Govt. Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV—Indian Institute of Information Technology and Management, Gwalior, India. He is Life Time Member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He has also edited special issues of the many reputed journals like “Memetic Computing”, “Journal of Experimental and Theoretical Artificial Intelligence”, “Evolutionary Intelligence”, etc. His primary area of interest is nature-inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences.
Dr. Mukesh Prasad is Senior Lecturer at School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence, and the internet of things. Mukesh’s research interests include also big data, computer vision, brain–computer interface, and evolutionary computation. He is working also in the evolving and increasingly important field of image processing, data analytics, and edge computing, which promise to pave the way for the evolution of new applications and services in the area of health care, biomedical, agriculture, smart cities, education, marketing, and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM transactions and conferences, and he has written more than 100 research papers.
Dr. Puneet Kumar Gupta is Assistant Professor at The ICFAI University, Dehradun. In addition to his academic responsibilities, he serves as Research Coordinator at The ICFAI University, Dehradun. He earned his Ph.D. in statistics from the University of Allahabad, Prayagraj. Before joining The ICFAI University, Dehradun, he served as Assistant Statistical Officer at the Uttar Pradesh Planning Department, Lucknow. Dr. Gupta's primary research interests include load-sharing system models, technology adoption, quantitative techniques, and Bayesian inference. He has published over 40 research papers in various international journals and conferences. He has been recognized for his academic excellence, receiving the Dr. Prem Kansal Gold Medal and the Vice-Chancellor Gold Medal for securing the first rank in M.Phil. Statistics.
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