Innovations in Computational Intelligence and Computer Vision (eBook, PDF)

Proceedings of ICICV 2021
Redaktion: Roy, Satyabrata; Tavares, João Manuel R. S.; Slowik, Adam; Perumal, Thinagaran; Sinwar, Deepak

• Format: PDF

Produktbeschreibung

This book presents high-quality, peer-reviewed papers from the International Conference on "Innovations in Computational Intelligence and Computer Vision (ICICV 2021)," hosted by Manipal University Jaipur, Rajasthan, India, on August 5-6, 2021. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 625
• Erscheinungstermin: 14. Mai 2022
• Englisch
• ISBN-13: 9789811904752
• Artikelnr.: 64040649

Autorenporträt

Dr. Satyabrata Roy is an Assistant Professor at the Department of Computer Science and Engineering, School of Computing & Information Technology at Manipal University Jaipur, Rajasthan, India. He received his Ph.D and M. Tech (with honors) degrees in Computer Science and Engineering in 2020 and 2014 respectively; and B. Tech in Information Technology in 2009. His research interests include Cryptography, Internet of Things, Cellular Automata, Computer Networks, Computational Intelligence, Machine Learning and Formal Languages. He is an enthusiastic and motivating technocrat with more than 10 years of research and academic experience. He has served as resource person of many FDPs and seminars. He is a member of ACM and senior member of IEEE. Dr. Deepak Sinwar is an Assistant Professor at the Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering in 2016 and 2010 respectively; and B.Tech (with honors) in Information Technology in 2008. His research interests include Computational Intelligence, Data Mining, Machine Learning, Reliability Theory, Computer Networks and Pattern Recognition. He is an enthusiastic and motivating technocrat with more than 11 years of research and academic experience. He is a life member of Indian Society for Technical Education (India), and member of ACM and IEEE. Thinagaran Perumal is currently a Senior Lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Head of Cyber-Physical Systems in the university and been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. He is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his PhD at Universiti Putra Malaysia, in smart technology and robotics. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), wearable computing, and cyber-physical systems. He is also heading the National Committee on Standardization for IoT (IEC/ISO TC / G/16) as Chairman since 2018. Some of the eminent works include proactive architecture for IoT systems; development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes. He is an active member of IEEE Consumer Electronics Society and its Future Directions Committee on Internet of Things. He has been invited to give several keynote lectures and plenary talk on Internet of Things in various institutions and organizations internationally. He has published several papers in IEEE Conferences and Journals and is serving as TPC member for several reputed IEEE conferences. He is an active reviewer for IEEE Internet of Things Journal, IEEE Communication Magazine, IEEE Sensors Journal, and IEEE Transaction for Automation Science and Engineering, to name a few. Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. habil. degree in computer science (Intelligent Systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include Soft Computing, Computational Intelligence, and, particularly, Bio-inspired Optimization algorithms and their engineering applications. He is a reviewer for many international scientific journals. He is an author or co-author of over 100 refereed articles in international journals, two books, and conference proceedings, including one invited talk. He is an editor of two books "Swarm Intelligence Algorithms" published in 2020 by Taylor and Francis Group (CRC Press). He was a Program Chair during International Conference on Advanced Intelligent Systems and Informatics (2020). Many times, he was a Guest Editor in Special Issues which were organized in such journals as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems. Dr. Slowik is an Associate Editor of the IEEE Transactions on Industrial Informatics. He is a member of the program committees of several important international conferences in the area of Artificial Intelligence and Evolutionary Computation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). Dr. Slowik is a Head of the Department of Computer Engineering at Koszalin University of Technology.