商品描述
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.
商品描述(中文翻譯)
本書是第二屆國際機器智慧研究與創新會議（MAiTRI 2024 峰會）所呈現的高品質同行評審研究論文集，會議於2024年6月21日至23日在印度斯里納加爾國立技術學院舉行。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。
作者簡介
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. 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. Anupam Yadav is an Associate Professor in the Department of Mathematics, Dr. BR 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 a Ph.D. in soft computing from the Indian Institute of Technology Roorkee and he had worked as a research professor at Korea University. He has published more than twenty-five research articles in journals of international repute, has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled "An introduction to neural network methods for differential equations. He has edited three books which are published by AISC, 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. 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.
作者簡介(中文翻譯)
Dr. Om Prakash Verma 是印度 Dr. B.R. Ambedkar 國立科技學院儀器與控制工程系的助理教授及人工智慧中心的教職員。他擁有印度理工學院 Roorkee 的博士學位、Dr. B.R. Ambedkar 國立科技學院的碩士學位，以及阿格拉的 Dr. B.R. Ambedkar 大學的學士學位。除了學術貢獻外，Verma 博士在 NIT Jalandhar 擔任多個重要行政職位，包括實習部門負責人、培訓與就業中心、公共關係官、院長特別助理及副監考。他曾在 KIIT 大學（印度布巴內斯瓦爾）、Banasthali Vidyapith（印度拉賈斯坦）及 Graphic Era 大學（印度德拉敦）任職。其研究專注於機器學習/深度學習/量子學習、軟計算與優化技術、計算機視覺、無人機及反無人機技術，以及控制系統。他已發表超過 100 篇研究論文，著有一本由 Springer Brief 出版的書籍，並編輯了 10 本以上的 Scopus 收錄書籍。他還參與了 30 多個會議論文集及書籍章節的貢獻。此外，他作為主要研究者或共同研究者參與了五個以上的資助研究項目。Verma 博士是 IEEE 的資深會員，並且是 IEEE 計算智能學會、IEEE 控制系統學會、ACDOS、ISOI 及 STEM 研究學會的活躍成員。他擔任多本國際期刊的副編輯及編輯委員會成員。他是 SoCTA 和 MAiTRI 國際會議系列的創始主席，並受邀在多個國內外會議及研討會上擔任主題演講者、會議主席及嘉賓。
Prof. Lipo Wang 於中國國防科技大學獲得學士學位，並於美國路易斯安那州立大學獲得博士學位。他目前在新加坡南洋理工大學電氣與電子工程學院任職。其研究興趣為影像及數據處理的人工智慧。他擁有超過 400 篇的出版物、2 項專利及超過 14,000 次的 Google Scholar 引用。他曾擔任 40 多個國際會議的主題演講者。他是《國際計算智能與應用期刊》（IJCIA）的共同主編、《IEEE 系統、人類與控制系統期刊：系統》的資深編輯，以及《IEEE 神經網絡與學習系統期刊》的副編輯。他曾擔任 30 多本國際期刊的副編輯/編輯委員會成員，包括 2 本其他 IEEE 期刊，並擔任 10 多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）及 IEEE 生物識別委員會的理事會成員。他擔任 CIS 技術活動副主席及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，現更名為 APNNS - 'Society'）的主席，並獲得 APNNA 優秀服務獎。他是 EMBS 新加坡分會及 CIS 新加坡分會的創始主席。
Rajesh Kumar（SMIEEE，英國工程技術學會會士，印度工程學會會士，IETE 會士，LMCSI，LMISTE）於 1994 年獲得印度庫魯克舍特拉國立技術學院的電氣工程學士學位，並於 1997 年及 2005 年分別獲得印度馬拉維亞國立技術學院的電力系統及智能系統碩士及博士學位。他於 2009 至 2011 年期間在新加坡國立大學電氣與計算機工程系擔任博士後研究員。目前，他在南非約翰尼斯堡大學健康科學院人體解剖學與生理學系擔任人工智慧教授，並在印度馬拉維亞國立技術學院的電氣工程系擔任教授。他的研究興趣集中於智能系統、數據驅動算法、分析及醫療保健。他擁有 18 項專利/專利申請，並在國際會議及期刊上發表超過 750 篇研究文章。他指導了 28 位博士生及超過 50 篇碩士論文。他獲得多項學術、最佳論文、最佳論文及專業獎項。他於 2002 年獲得印度政府頒發的青年教師職業獎。他在各種會議、教師發展計劃及研討會上發表了超過 300 次的主題演講/專家演講。他曾在全球 30 多所大學的研究委員會任職，並在印度 20 所大學的學術委員會中任職。他還擔任 NBA、NAAC 及 AICTE 的認證評估員。他被任命為 IEEE IAS 傑出講者，任期為 2024-25。他是 SoCTA 2024 的會議主席及 MAiTRI 2024 的執行總主席。他曾擔任 PEDES 2018 的會議程序主席、ICRAIE 2018、IICPE 2018、ICPS 2019、MAiTRI 2023 的共同主席，並擔任 PEDES 2020、AISCC 2020、GCAIA 2020、PEDES 2022、SoCTA 2023 的總主席，還擔任 ITEC India 2021 的 TPC 主席及 SoCTA 202 的技術主席。他曾擔任 IEEE Access、IEEE ITeN（工業電子技術新聞）、Swarm and Evolutionary Computation（Elsevier）、IET Renewable and Power Generation、IET Power Electronics、International Journal of Bio Inspired Computing 及 CAAI Transactions on Intelligence Technology（IET）的副編輯。他曾擔任 IEEE 顧問，MNIT 學生分會的創始教職顧問，MNIT 的 IEEE IAS 學生分會的名譽秘書，ExCom IEEE Delhi PES-IAS 的副主席，以及 IEEE Rajasthan 分會的副主席。
Dr. Anupam Yadav 是印度 Dr. B.R. Ambedkar 國立科技學院數學系的副教授。他的研究領域包括數值優化、軟計算及人工智慧，擁有超過十年的軟計算及優化研究經驗。Yadav 博士在印度理工學院 Roorkee 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超過 25 篇研究文章，並在會議論文集中發表了超過 15 篇研究文章。Yadav 博士著有一本名為《神經網絡方法在微分方程中的應用》的教科書，並編輯了三本由 AISC、Springer 系列出版的書籍。他曾擔任多個國際會議的總主席、召集人及指導委員會成員。他是多個研究學會的成員。
Dr. Ranjeet Kumar Rout 目前在印度旁遮普省 Jalandhar 的 Dr. B.R. Ambedkar 國立科技學院資訊技術系擔任助理教授。之前，他在印度斯里那卡國立技術學院計算機科學與工程系擔任助理教授。他在印度西孟加拉邦的印度工程科學與技術學院資訊技術系獲得博士學位。此前，他於 2010 年及 2005 年分別在印度奧里薩邦的 Biju Patnaik 技術大學獲得碩士及學士學位。在 NIT Srinagar 工作之前，Ranjeet 博士曾在 Amity University Noida、NIT Jalandhar 及印度統計學院（ISI）加爾各答擔任研究及教學工作。他的研究興趣包括機器學習、深度學習、視覺密碼學及計算生物學。他在非線性布爾函數及計算生物學領域的國際同行評審期刊上發表了多篇論文。
