Ai, Iot, Big Data and Cloud Computing for Industry 4.0
Neustein, Amy, Mahalle, Parikshit N., Joshi, Prachi
- 出版商: Springer
- 出版日期: 2024-08-02
- 售價: $5,970
- 貴賓價: 9.5 折 $5,672
- 語言: 英文
- 頁數: 575
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031297156
- ISBN-13: 9783031297151
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相關分類:
大數據 Big-data、物聯網 IoT、雲端運算
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as "Industry 4.0." The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture.
- Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporatedin Industry 4.0 applications
- Motivates readers to address challenges in the areas of speech communication and signal processing
- Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML
作者簡介
Amy Neustein, Ph.D. is CEO and Founder of Linguistic Technology Systems, in Fort Lee, NJ (USA) - a think tank for database engineering, scientific computing, and programming language theory. She is the Volume Editor of Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring (Elsevier 2020) and author/editor of 16 academic books covering a wide range of topics: speech technology, natural language processing, robotics in healthcare, mobile speech, text mining, voice technologies for speech reconstruction and enhancement, signal and acoustic modeling for speech and communication disorders, acoustic analysis of pathologies in infants and children, legal jurisprudence and child health-related issues, forensic speaker recognition, and data integration and conceptual space modeling for Covid, Cancer and Cardiac Care. She has authored many articles, chapters, and conference papers on this wide panoply of subjects. Dr. Neustein received her Ph.D. in Sociology (with a concentration in sociolinguistics and ethnomethodology) from Boston University. She has served as Editor-in-Chief of the International Journal of Speech Technology (Springer) from 2008 till present. She was featured in March 2018 in the SpringerNature "Women in STEM" joint campaign with the United Nations for women in science and technology during Women's History Month. Dr. Neustein serves as Series Editor of SpringerBriefs in Speech Technology: Studies in Signal Processing, Natural Language Understanding, and Machine Learning (Springer); Series Editor of two additional book series: Signals and Communication Technology (Springer); Speech Technology and Text Mining in Medicine and Healthcare (de Gruyter).
Dr Parikshit N. Mahalle is a senior member IEEE and is Professor, Dean Research and Development and Head - Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University and various Universities and autonomous colleges across India. He has 12 patents, 200+ research publications (Google Scholar citations-2600 plus, H index-23 and Scopus Citations are 1350 plus with H index -17, Web of Science citations are 438 with H index - 10) and authored/edited 50+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global -International Journal of Rough Sets and Data Analysis, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global - International Journal of Ambient Computing and Intelligence and reviewer for various journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in the area of IoT and machine learning and recently, FIVE students have successfully defended their PhD under his supervision. He is also the recipient of "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level.
Dr. Prachi M. Joshi obtained her B.E., MTech degree in Computer Engineering from COEP (College of Engineering, Pune), University of Pune, India. She has completed her Ph.D. in Computer Engineering in the area of Machine Learning from COEP, University of Pune. She has been in teaching and research area for more than 15 years. She has co-authored book on Artificial Intelligence (PHI) and written book chapters for Research Methodology, published by CRC. She has successfully supervised a plethora of projects at graduate and post-graduate level encompassing the domains of Artificial Intelligence, Data Mining and Machine Learning. Her research interests include Information Retrieval and Incremental Machine Learning and has multiple research publications to her credit. At present she is working as Associate Professor and Associate Head in the Department of Artificial Intelligence and Data Science at BRACT'S, VIIT, Pune, India.
Dr. Gitanjali R. Shinde has overall 13 years of experience, presently working as Assistant Professor in Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India. She has done Ph.D in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark on Research Problem Statement "Cluster Framework for Internet of People, Things and Services". She obtained M.E. (Computer Engineering) degree from the University of Pune and a B.E. (Computer Engineering) degree from the University of Pune. She has received research funding for the project "Lightweight Group Authentication for IoT" by SPPU, Pune. She has presented a research article at the World Wireless Research Forum (WWRF) meeting, Beijing China. She has published 50+ papers in National, International conferences and journals. She is the author of 5+ books with a publisher like Springer and CRC Taylor & Francis Group. She is also editor of books with De Gruyter and Springer. She is a reviewer of prominent journal IGI publications and IEEE Transactions.
作者簡介(中文翻譯)
艾米·紐斯坦(Amy Neustein),博士,是位於美國新澤西州福特李的語言技術系統公司的首席執行官和創始人,這是一個專注於資料庫工程、科學計算和程式語言理論的智庫。她是《普遍計算的進展:網路物理系統、智慧城市和生態監測》(Elsevier 2020)的卷編輯,並且是涵蓋廣泛主題的16本學術書籍的作者或編輯,包括語音技術、自然語言處理、醫療保健中的機器人技術、行動語音、文本挖掘、語音重建和增強的語音技術、針對語音和溝通障礙的信號和聲學建模、嬰幼兒和兒童病理的聲學分析、法律法理學和兒童健康相關問題、法醫說話者識別,以及針對Covid、癌症和心臟護理的數據整合和概念空間建模。她在這些主題上發表了許多文章、章節和會議論文。紐斯坦博士在波士頓大學獲得社會學博士學位(專注於社會語言學和民族方法論)。自2008年至今,她擔任《國際語音技術期刊》(Springer)的主編。她於2018年3月在SpringerNature與聯合國合作的「女性在STEM」聯合活動中亮相,該活動旨在慶祝女性在科學和技術領域的貢獻。紐斯坦博士擔任SpringerBriefs in Speech Technology系列的編輯,該系列專注於信號處理、自然語言理解和機器學習;同時也是另外兩個書籍系列的編輯:信號與通信技術(Springer);醫學和醫療保健中的語音技術和文本挖掘(de Gruyter)。
帕里克希特·N·馬哈勒(Parikshit N. Mahalle)博士是IEEE的高級會員,並擔任印度浦那的維什瓦卡馬科技學院人工智慧與數據科學系的教授、研究與發展院長及系主任。他在丹麥奧爾堡大學獲得博士學位,並在丹麥哥本哈根的CMI擔任博士後研究員。他擁有超過23年的教學和研究經驗。他是計算機工程學的學術委員會成員,曾擔任薩維特里拜·普赫勒浦那大學資訊技術系的主席,以及印度各大學和自治學院的成員。他擁有12項專利,發表了200多篇研究論文(Google Scholar引用2600多次,H指數23,Scopus引用1350多次,H指數17,Web of Science引用438次,H指數10),並與Springer、CRC Press、劍橋大學出版社等合作編著了50多本書籍。他是IGI Global的《粗集與數據分析國際期刊》的主編,並擔任Inter-science的《網格與公用計算國際期刊》的主編,還是IGI Global的《環境計算與智能國際期刊》的編輯審查委員會成員,並為多個知名期刊和會議擔任審稿人。他的研究興趣包括機器學習、數據科學、演算法、物聯網、身份管理和安全。他目前指導8名博士生專注於物聯網和機器學習,最近有五名學生在他的指導下成功完成博士論文。他還獲得了辛哈戈德學院和Cognizant Technologies Solutions頒發的「最佳教師獎」。他在國內外發表了200多場演講。
普拉奇·M·喬希(Prachi M. Joshi)博士在印度浦那的工程學院(COEP)獲得計算機工程的學士和碩士學位。她在COEP、浦那大學完成了機器學習領域的計算機工程博士學位。她在教學和研究領域已有超過15年的經驗。她共同編著了人工智慧的書籍(PHI),並為CRC出版的研究方法論撰寫了書籍章節。她成功指導了大量的博士生。