The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2024 Summit), held at National Institute of Technology Srinagar, India during 21 23 June 2024. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.

Presents research works in the field of machine intelligence Provides original works presented at MAiTRI 2024 held at National Institute of Technology Srinagar Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Prof. Lipo Wang received the Bachelor degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). He is presently with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence for image and data processing. He has 400+ publications, 2 patents and 14,000+ Google Scholar citations. He was keynote speaker for 40+ international conferences. He is a Co-Editor-in-Chief of International Journal of Computational Intelligence and Applications (IJCIA), Senior Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems and Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. He is/was Associate Editor/Editorial Board Member of 30+ international journals, including 2 other IEEE Transactions, and guest editor for 10+ journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA, renamed as APNNS Society) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

Rajesh Kumar, (SMIEEE, Fellow IET(UK), Fellow IE(I), Fellow IETE, LMCSI, LMISTE) received the B.Tech. (Hons.) degree in Electrical Engineering from the National Institute of Technology (NIT), Kurukshetra, India, 1994, the M.E. (Hons.) and Ph.D. degrees in Power Systems and Intelligent Systems from the Malaviya National Institute of Technology (MNIT) Jaipur, Rajasthan, India 1997, and 2005 respectively. He was a Postdoctoral Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore from 2009 to 2011. Currently, He is working as a Professor of Artificial Intelligence at the Department of Human Anatomy and Physiology, Faculty of Health Sciences, University of Johannesburg, South Africa and a Professor in the Department of Electrical Engineering, MNIT, Jaipur, India. His research interests focus on Intelligent Systems, Data Driven algorithms, analytics, and Healthcare. He holds 18 patents/patent applications and published over 750 research articles in international conferences and journals. He has supervised 28 Ph.D. and more than 50 master theses. He is the recipient of several academic, best papers, best theses, and professional awards. He has been felicitated with the Career Award for Young Teachers in 2002 from the Government of India. He has delivered more than 300 keynotes/expert talks in various conferences, Faculty Development Programs and workshops. He has been on the research boards of more than 30 universities across the world. He is also on the board of studies of 20 universities in India. He has also worked as an accreditation evaluator for NBA, NAAC, and AICTE. He is appointed as IEEE IAS Distinguish Lecturer, 2024-25. He is conference chair SoCTA 2024 and Executive general chair MAiTRI 2024. He was conference program chair PEDES 2018, general co-chair ICRAIE 2018, IICPE 2018, ICPS 2019, MAiTRI 2023. He was the general chair of PEDES 2020, AISCC 2020, GCAIA 2020, PEDES 2022, SoCTA 2023, TPC Chair ITEC India 2021, Technical chair SoCTA 202. He has been an Associate Editor of IEEE Access, IEEE ITeN (Industrial Electronics technology News), Swarm and Evolutionary Computation, Elsevier, IET Renewable and Power Generation, IET Power Electronics, International Journal of Bio Inspired Computing and CAAI Transactions on Intelligence Technology, IET. He has been an IEEE counsellor, MNIT student branch, founding faculty advisor IEEE IAS student chapter at MNIT, Honorary Secretary IETE Rajasthan Chapter, ExCom IEEE Delhi PES-IAS, and Vice Chairman IEEE Rajasthan Subsection.

Dr. Ranjeet Kumar Rout is currently serving as Assistant Professor in the Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Formally, he was the Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Srinagar, Hazratbal, India. He received his Ph.D. from the Department of Information Technology of Indian Institute of Engineering Science and Technology, nati Shibpur, West Bengal, India. Previously, he earned post graduate and bachelor's degrees in Computer Science and Engineering from Biju Patnaik University of Technology, Odisha, India, in 2010 and 2005, respectively. Prior to working at NIT Srinagar, Dr. Ranjeet had research and teaching experience from Amity University Noida, National Institute Technology Jalandhar, and Indian Statistical Institute (ISI), Kolkata, India. His research interests include machine learning, deep learning, visual cryptography, and computational biology. He has published several papers in peer-reviewed international and scientific journals in the field of non-linear Boolean functions and computational biology.

Dr. Om Prakash Verma is an Assistant Professor in the Department of Instrumentation and Control Engineering and a faculty member at the Centre of Artificial Intelligence, Dr. B.R. Ambedkar NIT Jalandhar. He holds a Ph.D. from IIT Roorkee, an M.Tech from Dr. B.R. Ambedkar NIT Jalandhar, and a B.Tech from Dr. B.R. Ambedkar University, Agra. In addition to his academic contributions, Dr. Verma holds several key administrative positions at NIT Jalandhar, including Head of Internship, Centre for Training and Placement, Public Relations Officer, OSD to Director, and Deputy Proctor. Dr. Verma has previously served at KIIT Deemed to be University, Bhubaneswar; Banasthali Vidyapith, Rajasthan; and Graphic Era University, Dehradun. His research focuses on Machine/Deep/Quantum Learning, Soft Computing & Optimization Techniques, Computer Vision, UAV and Anti-UAV Technologies, and Control Systems. He has published over 100+ research papers, authored a book published by Springer Brief, and edited 10+ Scopus indexed books published by Springer. He has also contributed to over 30+ conference proceedings and book chapters. Additionally, he has been associated with more than five funded research projects as PI/Co-PI. Dr. Verma is a Senior Member of IEEE and an active member of IEEE Computational Intelligence Society, IEEE Control Systems Society, ACDOS, ISOI, and STEM Research Society. He serves as an Associate Editor and editorial board member of several international journals. He is the founding chair of the SoCTA and MAiTRI international conference series and has been invited as a keynote speaker, session chair, and guest at numerous national and international conferences and workshops.

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Comparative Analysis of Deep Learn…