Machine Vision Analysis in Industry 5.0: Fundamentals, Applications, and Challenges
暫譯: 工業 5.0 中的機器視覺分析:基礎、應用與挑戰

Singh, Vivek Kumar, Kumar, Jitendra, Saxena, Deepika

  • 出版商: CRC
  • 出版日期: 2025-09-25
  • 售價: $6,260
  • 貴賓價: 9.5$5,947
  • 語言: 英文
  • 頁數: 176
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103287449X
  • ISBN-13: 9781032874494
  • 相關分類: 影像辨識 Image-recognition
  • 海外代購書籍(需單獨結帳)

商品描述

This book is an introduction to fundamental techniques of image analysis with machine vision and their applicability in Industry 5.0. It provides basic and emerging techniques in the field of image analysis and machine vision towards Industry 5.0.

商品描述(中文翻譯)

本書是關於機器視覺影像分析基本技術的介紹,以及這些技術在工業5.0中的應用。它提供了影像分析和機器視覺領域中針對工業5.0的基本和新興技術。

作者簡介

Dr. Vivek Kumar Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology at Sharda University, India. He received Ph.D. in Computer Science and Engineering from National Institute of Technology, Uttarakhand, M. Tech in Software Engineering from Motilal Nehru National Institute of Technology Allahabad and B. E. in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. He has published good quality research articles in reputed international journals and conferences including seven SCI and SCI-E indexed journals and 11 conferences out of which two are awarded best paper. He has edited a book that has been published by CRC Press. His areas of interest are Computer Vision, Artificial Intelligence, Machine Learning and Visual Attention Modeling. He is involved in reviewing process in different reputed journals and conferences.

Dr. Jitendra Kumar is with the Department of Mathematics, Bioinformatics, and Computer Applications at Maulana Azad National Institute of Technology Bhopal, India. Prior to this, he was with National Institute of Technology Tiruchirappalli, Tamilnadu, India (An Institution of National Importance). Dr. Kumar obtained his doctorate degree in Machine Learning from National Institute of Technology Kurukshetra, Haryana, India. He has published more than 35 research papers in reputed SCI indexed Journals and conferences. Dr. Kumar is a proud recipient of Best Paper and Best PhD Thesis awards. He is actively involved in editing books and special issues for journals of high repute including IEEE Journal of Biomedical and Healthcare Informatics. He is a senior member of IEEE and a member of ACM and MIAENG. He also serves as a review board member of various journals of repute like 'IEEE Transactions on Parallel and Distributed Systems', 'IEEE Systems Journal', 'Future Generation Computer Systems', 'IEEE Access' etc.

Dr. Deepika Saxena is working as an Associate Professor in the Division of Information Systems at the University of Aizu, Japan. She received her Ph.D. degree in Computer Science from the National Institute of Technology, Kurukshetra, India, and completed her Post Doctorate from the Department of Computer Science at Goethe University, Frankfurt, Germany. She is the recipient of the prestigious IEEE TCSC 2024 Early Career Researcher Award, IEEE TCSC 2023 Outstanding Ph.D. Dissertation Award, EUROSIM 2023 Best Ph.D. Thesis Award, and the 2022 Best Paper Award from IEEE Transactions on Cloud Computing Journal. She is the recipient of the prestigious JSPS KAKENHI Early Career Young Scientist Research Grant FY2024. She served as a visiting researcher at CERN in Geneva, Switzerland. With over 60 publications, she has made impactful contributions to cloud computing, cybersecurity, neural networks, quantum machine learning, and more. She has served as a Visiting Researcher at CERN, Switzerland, and is currently a Guest Editor for Elsevier CEE journal and IEEE JBHI. Dr. Saxena actively reviews for high-ranking journals and conferences.

Dr. Abhishek Verma is currently working as an Assistant Professor in the Department of Information Technology at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. Previously, he served as an Assistant Professor in the Department of Computer Science & Engineering at IIITDM Jabalpur, India. He earned his Ph.D. (2020) in IoT Security from the NIT Kurukshetra, India. He completed his B.Tech. (2014) in Computer Science & Engineering from UPTU, Lucknow, India, and his M.Tech. (2016) in Computer Engineering from NIT Kurukshetra, India. Dr. Verma has published more than 30 research articles in prestigious international journals and conferences. He has edited three books, which have been published by CRC Press. He is a member of the editorial board for Research Reports on Computer Science (RRCS) and serves as an active review board member for several reputed journals. His current research interests include Information Security, Intrusion Detection, Software-Defined Networking, and the IoT.

Dr. T. Akilan (Ph.D., P.Eng., SMIEEE) received his Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada. He is an Associate Professor in the Department of Software Engineering at Lakehead University, Thunder Bay, ON, Canada. His research interests include object/action recognition, image/video processing, image segmentation, information fusion, and large-data analysis using statistical techniques, artificial intelligence, machine learning, and deep learning. He is a recipient of the 2015-2016 Golden Key's premier Graduate Scholar Award and the 2013-2014 His Majesty the King's Scholarship of the Royal Thai Government. Currently, he serves as the director of the Engineering Co-op at Lakehead University, a reviewer for several journals, including IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Industrial Informatics, and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology.

Prof. (Dr.) Ashutosh Kumar Singh received the Ph.D. degree in Electronics Engineering from Indian Institute of Technology (BHU) Varanasi, India. He was a Post- Doctoral Researcher with the Department of Computer Science, University of Bristol, U.K. He is currently a Professor and the Director of Indian Institute of Information Technology Bhopal, India. Also, he is an Adjunct Professor with the University of Economics and Human Sciences, Warsaw, Poland. He has research and teaching experience in various Universities in India, the U.K., and Malaysia. He has published more than 400 research papers in different journals and conferences of high repute. Some of his research findings are published in top cited journals, such as IEEE Transactions on Services Computing, IEEE Transactions on Computers, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cloud Computing, IEEE Communications Letters, IEEE Networking Letters, IEEE Design and Test, IEEE Systems Journal, IEEE Wireless Communication Letters, IEEE Transactions on Network and Service Management, IEEE Transactions on Green Communications and Networking, IET Electronics Letters, FGCS, Neurocomputing, Information Sciences, and Information Processing Letters. His research interests include the design and testing of digital circuits, data science, cloud computing, machine learning, and security. His research paper, published in IEEE Transactions on Cloud Computing Journal was honoured with the 2022 Best Paper Award by the IEEE Computer Society Publications Board.

作者簡介(中文翻譯)

維維克·庫馬爾·辛格博士目前在印度沙爾達大學工程與技術學院的計算機科學與工程系擔任助理教授。他在烏塔拉坎德國立技術學院獲得計算機科學與工程的博士學位,在莫蒂拉爾·尼赫魯國立技術學院阿拉哈巴德獲得軟體工程的碩士學位,並在博帕爾的拉吉夫·甘地技術大學獲得計算機科學與工程的學士學位。他在多個知名國際期刊和會議上發表了高質量的研究文章,包括七篇SCI和SCI-E索引的期刊以及11個會議,其中兩篇獲得最佳論文獎。他編輯了一本由CRC Press出版的書籍。他的研究興趣包括計算機視覺、人工智慧、機器學習和視覺注意力建模。他參與多個知名期刊和會議的審稿工作。

吉滕德拉·庫馬爾博士在印度博帕爾的馬烏拉納·阿扎德國立技術學院的數學、生物資訊學和計算機應用系工作。在此之前,他曾在印度泰米爾納德邦的提魯奇拉帕利國立技術學院工作(國家重要機構)。庫馬爾博士在印度哈里亞納邦的庫魯克舍特拉國立技術學院獲得機器學習的博士學位。他在知名的SCI索引期刊和會議上發表了超過35篇研究論文。庫馬爾博士榮獲最佳論文和最佳博士論文獎。他積極參與編輯高聲望期刊的書籍和特刊,包括IEEE生物醫學與健康資訊期刊。他是IEEE的高級會員,也是ACM和MIAENG的成員。他還擔任多個知名期刊的審稿委員,如《IEEE平行與分散系統交易》、《IEEE系統期刊》、《未來一代計算機系統》、《IEEE Access》等。

迪皮卡·薩克塞納博士目前在日本會津大學的信息系統部門擔任副教授。她在印度庫魯克舍特拉國立技術學院獲得計算機科學的博士學位,並在德國法蘭克福的歌德大學計算機科學系完成博士後研究。她是2024年IEEE TCSC早期職業研究者獎、2023年IEEE TCSC優秀博士論文獎、2023年EUROSIM最佳博士論文獎以及2022年IEEE雲計算期刊最佳論文獎的獲得者。她還獲得了2024財年JSPS KAKENHI早期職業青年科學家研究補助金。她曾在瑞士日內瓦的CERN擔任訪問研究員。她發表了超過60篇論文,對雲計算、網絡安全、神經網絡、量子機器學習等領域做出了重要貢獻。她曾在瑞士CERN擔任訪問研究員,並目前擔任Elsevier CEE期刊和IEEE JBHI的客座編輯。薩克塞納博士積極為高排名的期刊和會議進行審稿。

阿比謝克·維爾瑪博士目前在印度勒克瑙的巴巴薩赫布·比姆拉奧·安貝德卡大學(中央大學)信息技術系擔任助理教授。之前,他在印度賈巴爾普爾的IIITDM計算機科學與工程系擔任助理教授。他於2020年在印度庫魯克舍特拉國立技術學院獲得物聯網安全的博士學位。他於2014年在印度勒克瑙的UPTU獲得計算機科學與工程的學士學位,並於2016年在印度庫魯克舍特拉國立技術學院獲得計算機工程的碩士學位。維爾瑪博士在多個知名國際期刊和會議上發表了超過30篇研究文章。他編輯了三本由CRC Press出版的書籍。他是《計算機科學研究報告》(RRCS)的編輯委員會成員,並擔任多個知名期刊的活躍審稿委員。他目前的研究興趣包括信息安全、入侵檢測、軟體定義網絡和物聯網。

T. 阿基蘭博士(Ph.D., P.Eng., SMIEEE)在加拿大溫莎大學獲得電氣與計算機工程的博士學位。他是加拿大安大略省桑德貝的湖頭大學軟體工程系的副教授。他的研究興趣包括物體/行為識別、圖像/視頻處理、圖像分割、信息融合以及使用統計技術、人工智慧、機器學習和深度學習的大數據分析。他是2015-2016年金鑰首屆研究生獎和2013-2014年泰國皇家政府國王獎學金的獲得者。目前,他擔任湖頭大學工程合作計畫的主任,並為多個期刊擔任審稿人,包括《IEEE多媒體交易》、《IEEE模式分析與機器智慧交易》、《IEEE智能交通系統交易》和《IEEE工業資訊交易》,以及《IEEE視頻技術電路與系統交易》的副編輯。

阿蘇托什·庫馬爾·辛格教授(博士)在印度瓦拉納西的印度理工學院(BHU)獲得電子工程的博士學位。他曾在英國布里斯托大學的計算機科學系擔任博士後研究員。目前,他是印度博帕爾的印度信息技術學院的教授和院長。此外,他還是波蘭華沙經濟與人文科學大學的兼任教授。他在印度、英國和馬來西亞的多所大學擁有研究和教學經驗。他在不同的高聲望期刊和會議上發表了超過400篇研究論文。他的一些研究成果發表在引用率最高的期刊上,如《IEEE服務計算交易》、《IEEE計算機交易》、《IEEE系統、人與控制論交易》、《IEEE平行與分散系統交易》、《IEEE工業資訊交易》、《IEEE雲計算交易》、《IEEE通訊信件》、《IEEE網絡信件》、《IEEE設計與測試》、《IEEE系統期刊》、《IEEE無線通信信件》、《IEEE網絡與服務管理交易》、《IEEE綠色通信與網絡交易》、《IET電子信件》、《FGCS》、《神經計算》、《信息科學》和《信息處理信件》。他的研究興趣包括數位電路的設計與測試、數據科學、雲計算、機器學習和安全。他在《IEEE雲計算期刊》上發表的研究論文榮獲2022年IEEE計算機學會出版委員會的最佳論文獎。