Big Data Analytics in Smart Manufacturing: Principles and Practices
暫譯: 智慧製造中的大數據分析:原則與實踐

Suresh, P., Poongodi, T., Balamurugan, B.

  • 出版商: CRC
  • 出版日期: 2022-12-14
  • 售價: $4,270
  • 貴賓價: 9.5$4,057
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032065516
  • ISBN-13: 9781032065519
  • 相關分類: 大數據 Big-dataData Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The combination of Artificial Intelligence, IoT and Machine Learning is revolutionary in healthcare systems. The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.

Features

  • The readers will get an overview about the smart manufacturing system which enables optimized manufacturing process and benefits the users by increasing overall profit.
  • The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems.
  • The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefits in their per capita income in better way.
  • Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing.
  • Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

This book is aimed primarily at graduates and researchers working in AI, IoT and machine learning. Healthcare professionals would also find this book useful.

商品描述(中文翻譯)

人工智慧、物聯網和機器學習的結合在醫療系統中具有革命性意義。超安全且不可變的帳本、強大的共識機制、去中心化以及自我主權身份的人工智慧和物聯網技術,對於重新平衡和改善機器學習算法具有巨大的潛力。本書探討了利用人工智慧、物聯網和機器學習來增強醫療系統的可能性。

**特色**

- 讀者將獲得有關智慧製造系統的概述,該系統能夠優化製造過程,並通過提高整體利潤來惠及用戶。
- 研究人員將深入了解大數據技術如何通過實時智慧製造系統中的數據流觀察來發現新的關聯、因素和模式。
- 工業界人士可以獲得有關設計缺陷檢測、市場快速反應、創新產品以滿足客戶需求的概述,這將有助於提高他們的人均收入。
- 討論智慧製造中使用的技術觀點、概念、理論和基本假設。
- 以使用者友好的方式提供資訊,適合學生、研究人員、工業專家和商業創新者,以及專業人士和實務工作者。

本書主要針對從事人工智慧、物聯網和機器學習的畢業生和研究人員。醫療專業人士也會發現本書的實用性。

作者簡介

Prof. (Dr.) P Suresh is currently serving as Academic Coordinator and Professor in the Department of Mechanical Engineering at Galgotias University, Greater Noida. He received his Ph.D. degree in the Faculty of Mechanical Engineering, from Anna University, Tamilnadu, in 2014. He completed Master of Engineering in Engineering Design from Bharathiar University, Coimbatore, Tamilnadu in 2001 and a Bachelor of Engineering in University of Madras, Chennai, Tamilnadu in 2000. He has about 21 years of working experience in academics and research. He has published more than 55 publications in various International Journals, Conferences, and Book chapters in Elsevier, Springer, IET, etc. Dr. P. Suresh is also associated with various professional bodies such as The Institution of Engineers of India (IEI), IAENG, International Association of Engineers, Life member of ISTE (Indian Society for Technical Education), and he is the Senior Member of IRED.

Prof. (Dr.) T Poongodi is a Professor in the Department of Computer Science and Engineering at the Galgotias University, Delhi - NCR, India. She received her Ph.D. degree in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. She has more than 15 years of experience working in teaching and research. Her current research interests include Network Security, Wireless Ad Hoc and Sensor Networks, Internet of Things (IoT), Computer Networks, and Blockchain Technology for emerging communication networks. Dr. T. Poongodi is the author of over 40+ book chapters including some reputed publishers such as Springer, Elsevier, Wiley, De-Gruyter, CRC Press, IGI global and 30+ international journals and conferences. She has published 10+ books in the areas of Internet of Things, Data Analytics, Blockchain Technology, Artificial Intelligence, Machine Learning, and Healthcare Informatics, published by reputed publishers such as Springer, IET, Wiley, CRC Taylor & Francis, and Apple Academic Press.

Prof. (Dr.) B Balamurugan is currently working as Associate Dean-Student Engagement, Shiv Nadar University, Delhi-National Capital Region (NCR), India. His contributions focus on Engineering Education, Blockchain, and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore have made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier, and IEEE. He has done more than 50 Edited and authored books and collaborated with eminent professors across the world from top QS ranked universities. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Master and PhD Degrees from Top premier institutions in India. His passion is teaching and adapting different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 quality journal, conferences and book chapters combined. He serves on the advisory committee for several start-ups and forums and does consultancy work for the industry on Industrial IoT. He has given over 175 talks at various events and symposiums. He is currently working as a professor and chief research coordinator at Galgotias University and teaches faculty and students about research, does research on Blockchain and IoT.

Dr. Meenakshi Sharma, Professor Dean R&D in Galgotias University, Greater Noida. M.Tech in Computer Science and Engineering from Kurukshetra University in 2006. She has been awarded Ph.D. in Computer Science, from Kurukshetra University in 2011. She has 15+ Years of Experience in Teaching and Research. Her research interests are Machine Learning, Image Processing, Big Data Analytics, Data compression, and Digital and data warehousing. She has a total of 50+ Research publications in IEEE transaction, SCIE, SCI, and Scopus. She got the Best Research and Teacher award in 2017 and 2018. She attended as Session Chair in Many International Conferences and gave Guest Lecturer on Machine Learning, and Big Data in Many Engineering Colleges. She works as a Reviewer in many SCI and Scopus Indexed Journals. She is the GUEST editor (SCOPUS JOURNAL). She is also Guest Editor, (CRC Press) Taylor Francis. She had guided 02 Ph.D. Candidate, 01 Thesis Submitted, and 05 are under Guidance.

作者簡介(中文翻譯)

普羅夫. (博士) P Suresh 目前擔任 Greater Noida 的 Galgotias University 機械工程系的學術協調員及教授。他於 2014 年在泰米爾納德邦的安娜大學獲得機械工程學院的博士學位。他於 2001 年在泰米爾納德邦的 Bharathiar University 獲得工程設計碩士學位,並於 2000 年在泰米爾納德邦的馬德拉斯大學獲得工程學士學位。他在學術和研究方面擁有約 21 年的工作經驗。他在各種國際期刊、會議及 Elsevier、Springer、IET 等書籍章節上發表了超過 55 篇論文。P. Suresh 博士還與多個專業機構有關聯,如印度工程師協會 (IEI)、IAENG、國際工程師協會、ISTE (印度技術教育學會) 的終身會員,以及 IRED 的高級會員。

普羅夫. (博士) T Poongodi 是位於印度德里 - NCR 的 Galgotias University 計算機科學與工程系的教授。她在印度泰米爾納德邦的安娜大學獲得資訊科技 (資訊與通信工程) 的博士學位。她在教學和研究方面擁有超過 15 年的經驗。她目前的研究興趣包括網路安全、無線臨時網路和感測器網路、物聯網 (IoT)、計算機網路以及新興通信網路的區塊鏈技術。T. Poongodi 博士是超過 40 篇書籍章節的作者,包括一些知名出版社如 Springer、Elsevier、Wiley、De-Gruyter、CRC Press、IGI Global 和 30 多個國際期刊及會議。她在物聯網、數據分析、區塊鏈技術、人工智慧、機器學習和健康資訊學等領域出版了 10 多本書籍,這些書籍由知名出版社如 Springer、IET、Wiley、CRC Taylor & Francis 和 Apple Academic Press 出版。

普羅夫. (博士) B Balamurugan 目前擔任印度德里國家首都區 (NCR) 的 Shiv Nadar University 學生參與副院長。他的貢獻集中在工程教育、區塊鏈和數據科學。他的學術學位和在 VIT University (維洛爾) 這樣的全球大學擔任教職的十二年經驗,使他在其領域中更具敏感性和知名度。他在 Springer、Elsevier 和 IEEE 上發表了超過 200 篇高影響因子論文。他編輯和撰寫了超過 50 本書籍,並與來自全球頂尖 QS 排名大學的著名教授合作。Balamurugan Balusamy 教授在 VIT University 的 12 年經驗中曾擔任副教授。他在印度的頂尖機構完成了學士、碩士和博士學位。他熱愛教學,並在授課時適應不同的設計思維原則。他出版了 30 多本有關各種技術的書籍,並前往 15 個以上的國家進行技術課程。他的履歷中有多個頂尖會議,並且已發表超過 200 篇質量期刊、會議和書籍章節的綜合作品。他在多個初創企業和論壇的諮詢委員會中任職,並為工業界提供工業物聯網的顧問服務。他在各種活動和研討會上發表了超過 175 場演講。他目前在 Galgotias University 擔任教授和首席研究協調員,教授教職員和學生有關研究,並進行區塊鏈和物聯網的研究。

Meenakshi Sharma 博士 是 Galgotias University 的 R&D 院長,位於 Greater Noida。她於 2006 年在庫魯克舍特拉大學獲得計算機科學與工程的碩士學位。她於 2011 年在庫魯克舍特拉大學獲得計算機科學的博士學位。她在教學和研究方面擁有超過 15 年的經驗。她的研究興趣包括機器學習、影像處理、大數據分析、數據壓縮以及數位和數據倉儲。她在 IEEE 交易、SCIE、SCI 和 Scopus 上發表了超過 50 篇研究論文。她在 2017 年和 2018 年獲得最佳研究和教師獎。她曾在多個國際會議中擔任會議主席,並在多所工程學院就機器學習和大數據進行客座講座。她在多個 SCI 和 Scopus 索引的期刊中擔任審稿人。她是 GUEST 編輯 (SCOPUS JOURNAL)。她也是 GUEST 編輯 (CRC Press) Taylor Francis。她指導了 2 名博士候選人,1 篇論文已提交,5 篇正在指導中。

最後瀏覽商品 (19)