Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023): Volume 1 | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time will not arrive before Christmas.
Please note that books with a 10-20 working days delivery time will not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Apu Kumar Saha
B01=Harish Sharma
B01=Mukesh Prasad
Category1=Non-Fiction
Category=UYQV
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023): Volume 1

English

This book contains outstanding research papers as the proceedings of the 3rd International Conference on Intelligent Vision and Computing (ICIVC 2023). ICIVC 2023 has been organized by National Institute of Technology Agartala, India under the technical sponsorship of the Soft Computing Research Society, India. It was held on November 25-26, 2023 at National Institute of Technology Agartala, India. The conference was conceived as a platform for disseminating and exchanging ideas, concepts, and results of the researchers from academia and industry to develop a comprehensive understanding of the challenges of the advancements of intelligence in computational viewpoints. This book will help in strengthening congenial networking between academia and industry. The conference focused on collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, signal and natural language processing.

See more
Current price €202.34
Original price €212.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Apu Kumar SahaB01=Harish SharmaB01=Mukesh PrasadCategory1=Non-FictionCategory=UYQVCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 06 Dec 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 06 Dec 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031713903

About

Dr. Apu Kumar Saha is working as a 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 PhD from National Institute of Technology  Agartala. He is an active researcher for the past ten plus years. His fields of research are Population-Based Optimization Algorithms Decision Support Systems Fuzzy Mathematics Topological Spaces etc. He has published over one hundred and thirty research papers in reputed international journals two books twenty book chapters and over sixty international conferences. Twelve candidates received PhD under his guidance and five more candidates are currently pursuing PhD under him.   Dr. Harish Sharma is an Associate professor at Rajasthan Technical University Kota in Department of Computer Science & 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 secretary and one of the founder member of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India ISI Kolkata. He is an 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 a 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. Mukeshs 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 healthcare biomedical agriculture smart cities education marketing and finance.  His research has appeared in numerous prestigious journals including IEEE/ACM Transactions and conferences he has written more than 100 research papers. Dr. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the Universitys world-leading Australian Artificial Intelligence Institute (AAII) which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience specifically in Taiwan where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). There he developed new algorithms for image processing and pattern recognition using machine learning techniques. He was also a postdoctoral researcher leading a Big Data and computer vision team at National Chiao Tung University Taiwan (2015). Mukesh received an M.S. degree from the School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi India (2009) and PhD from the Department of Computer Science National Chiao Tung University Taiwan (2015).

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept