Machine Intelligence for Research and Innovations: Proceedings of Maitri 2023, Volume 2 (機器智慧於研究與創新：Maitri 2023 會議論文集，第二卷)

本書是第一屆國際機器智慧研究與創新會議（MAiTRI 2023 峰會）所呈現的高品質同行評審研究論文集，會議於2023年9月1日至3日在印度旁遮普邦的德布拉·阿姆貝德卡國立技術學院舉行。本書專注於機器智慧（MI）理論及其實現的最新進展，以及相關工具和日益增長的應用，如機器學習、深度學習、量子機器學習、即時電腦視覺、模式識別、自然語言處理、統計建模、自動駕駛車輛、人機介面、計算智慧和機器人技術。

Dr. Om Prakash Verma is currently serving as Assistant Professor in the Department of Instrumentation and Control Engineering, Dr B R Ambedkar NIT Jalandhar. His research interests includes: Machine Vision, Machine, Deep and Quantum Learning, Applied Soft-Computing and UAV Autonomous System. He has credit for publishing more than 90+ research publications including international peer-reviewed SCI journals, patent applications, edited books, conferences and book chapters. He has associated with 06 research projects as PI and Co-PI funded by various funding agencies such as ISRO, MeitY, CSIR, etc. He has supervised 2 Ph.D and currently supervising 3 Ph.D students. He is a Senior Member of IEEE, and Member of IEEE Computational Intelligence Society, IEEE Control Systems Society, Automatic Control and Dynamic Optimization Society and life time member of Instrument Society of India and STEM Research Society. He is an associate editor of the International Journal of Security and Privacy inPervasive Computing.

Dr. Lipo Wang is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and guest editor for 15 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) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

Dr. Rajesh Kumar is working as a Professor in the Department of Electrical Engineering, MNIT, Jaipur. His research interests focus on Intelligent Systems, Machine Intelligence, Power Management, Smart Grid and Robotics. He has published over 550 research articles, has supervised 25 PhD and more than 35 M.Tech thesis. He has 14 patents to his name. He received 03 academic awards, 12 best paper awards, 06 best thesis award, 04 professional awards and 25- student award. He has received the Career Award for Young Teachers in 2002 from Govt. of India. He has been Associate Editor of IEEE Access, IEEE ITeN, 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 is a Senior Member IEEE (USA), Fellow IET (UK), Fellow IE (INDIA), Fellow IETE, Life Member CSI, Senior Member IEANG and Life Member IST.

Dr Anupam Yadav is an Associate Professor at the Department of Mathematics, Dr B R Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from the Indian Institute of Technology Roorkee and he worked as a research professor at Korea University. He has published several research articles in journals of international repute. Dr Yadav has authored a textbook entitled "An Introduction to neural network methods for differential equations. He has edited several books which are published by AISC, LNDECT Springer Series. Dr Yadav was the General Chair, Convener and member of the steering committee of several international conferences. He is a member of various research societies.

Dr. Om Prakash Verma 目前擔任 Dr B R Ambedkar NIT Jalandhar 儀器與控制工程系的助理教授。他的研究興趣包括：機器視覺、機器學習、深度學習和量子學習、應用軟計算及無人機自主系統。他已發表超過90篇研究論文，包括國際同行評審的SCI期刊、專利申請、編輯書籍、會議及書籍章節。他參與了6個研究項目，擔任主要研究者和共同研究者，這些項目由ISRO、MeitY、CSIR等各種資助機構資助。他已指導2位博士生，並目前指導3位博士生。他是IEEE的資深會員，並且是IEEE計算智能學會、IEEE控制系統學會、自動控制與動態優化學會的會員，以及印度儀器學會和STEM研究學會的終身會員。他是《國際安全與隱私在普遍計算中的期刊》的副編輯。

Dr. Lipo Wang 目前在新加坡南洋理工大學電氣與電子工程學院任教。他的研究興趣是人工智慧，應用於影像/視頻處理、生物醫學工程、通訊、控制和電力系統。他擁有350篇以上的出版物，並擁有一項美國神經網絡專利和一項系統專利。他共同撰寫了2本專著，並（共同）編輯了15本書籍。他曾擔任30本國際期刊的副編輯/編輯委員會成員，包括4本IEEE Transactions，並擔任15本期刊特刊的客座編輯。他曾是國際神經網絡學會、IEEE計算智能學會（CIS）和IEEE生物識別委員會的理事會成員。他曾擔任CIS技術活動副總裁和新興技術技術委員會主席，以及IEEE醫學與生物工程學會（EMBS）教育委員會主席。他曾是亞太神經網絡大會（APNNA）的主席，並獲得APNNA優秀服務獎。他是EMBS新加坡分會和CIS新加坡分會的創始主席。

Dr. Rajesh Kumar 在MNIT Jaipur電氣工程系擔任教授。他的研究興趣集中在智能系統、機器智能、電力管理、智慧電網和機器人技術。他已發表超過550篇研究文章，指導了25位博士生和超過35篇碩士論文。他擁有14項專利。他獲得了3項學術獎、12項最佳論文獎、6項最佳論文獎、4項專業獎和25項學生獎。他於2002年獲得印度政府的青年教師職業獎。他曾擔任IEEE Access、IEEE ITeN、Swarm and Evolutionary Computation、Elsevier、IET Renewable and Power Generation、IET Power Electronics、International Journal of Bio Inspired Computing和CAAI Transactions on Intelligence Technology的副編輯。他是IEEE（美國）資深會員、IET（英國）院士、IE（印度）院士、IETE院士、CSI終身會員、IEANG資深會員和IST終身會員。

Dr. Anupam Yadav 是印度 Dr B R Ambedkar 國立技術學院數學系的副教授。他的研究領域包括數值優化、軟計算和人工智慧，擁有超過十年的軟計算和優化研究經驗。Yadav博士在印度理工學院魯爾基分校獲得軟計算的博士學位，並曾在韓國大學擔任研究教授。他在國際知名期刊上發表了多篇研究文章。Yadav博士撰寫了一本名為《神經網絡方法在微分方程中的應用入門》的教科書。他編輯了多本由AISC、LNDECT Springer系列出版的書籍。Yadav博士曾擔任總主席、召集人及成員。