Satyabrata Roy & Deepak Sinwar 
Innovations in Computational Intelligence and Computer Vision [PDF ebook] 
Proceedings of ICICV 2022

Empirical Study of Multi-class Weed Classification using Deep Learning Network through Transfer Learning.- Secured Face Recognition System Based on Block Chain with Machine Learning.- Classifying Paintings/Artworks Using Deep Learning Techniques.- Hybrid Deep Face Music Recommendation Using Emotions.- Integrating Res Net18 and YOLOv4 for Pedestrian Detection.- Image Restoration from Weather Degraded Images Using Markov Random Field

Satyabrata Roy received the B.Tech. and M.Tech. degrees in CSE from the Maulana Abul Kalam Azad University of Technology, West Bengal (Formerly known as West Bengal University of Technology), and KIIT University, Bhubaneswar, respectively. He has completed his Ph.D. from Manipal University Jaipur in lightweight security for Io T. He is having more than 10 years of teaching and research experience. He is currently Associate Professor with the Department of Computer Science and Engineering, Manipal University Jaipur. His major research interests include cryptography and cellular automata. He has published many research papers in referred journals and international conferences. Currently, he is supervising three research scholars at Manipal University Jaipur. He is Senior Member of IEEE and Professional Member of ACM.

Deepak Sinwar is Associate Professor at the Department of Computer and Communication Engineering, 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. On his credit, he has published more than 50 articles in peer-reviewed journals, conference proceedings, and chapters. His research interests include computational intelligence, data mining, machine learning, reliability theory, computer networks, and pattern recognition. He is Enthusiastic and Motivating Academician with more than 12 years of research and academic experience. He is Life Member of Indian Society for Technical Education (India), Senior Member of IEEE, and Member of ACM professional society.

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is Visiting Fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held Honorary Position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his Ph.D. from Jadavpur University in 2015. He is Editor-in-Chief of the
International Journal of Ambient Computing and Intelligence (IGI Global). He is Series Co-editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), and Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is having 110 books and over 300 publications in the area of medical imaging, machine learning, computer-aided diagnosis, data mining, etc. (over 16500 citations, 63 h-index). Furthermore, he is Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior Member of IEEE.

Thinagaran Perumal is currently 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 has been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. He is Recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his Ph.D. at Universiti Putra Malaysia in smart technology and robotics. His research interests are toward interoperability aspects of smart homes and Internet of things (Io T), wearable computing, and cyber-physical systems. He is also heading the National Committee on Standardization for Io T (IEC/ISO TC/G/16) as Chairman since 2018. Some of the eminent works include proactive architecture for Io T systems; development of the cognitive Io T frameworks for smart homes, and wearable devices for rehabilitation purposes. He is 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 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.

João Manuel R. S. Tavares is graduated in Mechanical Engineering from the University of Porto, Portugal (1992). In 1995, he obtained a M.Sc. in Electrical and Computer Engineering, in the field of industrial informatics, also at the University of Porto. In 2001, he obtained a Ph.D. degree in Electrical and Computer Engineering from the same university, and in 2015 the Habilitation in Mechanical Engineering. From 1995 to 2000, he was Researcher at the Institute of Biomedical Engineering (INEB). Since 2001, he has been Senior Researcher and Project Coordinator at the Laboratory of Optical and Experimental Mechanics (LOME) of the Institute of Mechanical Engineering and Industrial Management (INEGI). He was Assistant Professor in the Department of Mechanical Engineering (DEMec) of the Faculty of Engineering of the University of Porto (FEUP) between 2001 and 2011, and since then, he has been Associate Professor in the same department. Since 2001, he has been Supervisor and Co-supervisor of several M.Sc. and Ph.D. theses. He is Co-author of more than 550 articles in national and international journals and conferences, Co-editor of 30 international books, and Guest Editor of several special issues of international journals. Also, he has been evolved in several research projects, both as Researcher and as Scientific Coordinator. He has been Member of several national and international journal editorial boards, Editor-in-Chief of the T&F Journal
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, and Co-editor of the Springer book series “Lecture Notes in Computational Vision and Biomechanics.” His main research areas include computational vision, computational mechanics, scientific visualization, human–computer interaction, and new product development.