Evolution and Advances in Computing Technologies for Industry 6.0: Technology, Practices, and Challenges

Reddy, C. Kishor Kumar, Doss, Srinath, Bhatia Khan, Surbhi

  • 出版商: CRC
  • 出版日期: 2024-12-19
  • 售價: $6,700
  • 貴賓價: 9.5$6,365
  • 語言: 英文
  • 頁數: 380
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032823046
  • ISBN-13: 9781032823041
  • 尚未上市,無法訂購

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商品描述

This book provides a comprehensive exploration of Industry 6.0, which marks the convergence of intelligent systems, machine learning (ML), deep learning, and human-robot collaboration (HRC) in various sectors. It focuses on how these technologies enable businesses to harness insights from vast datasets, optimize operations, forecast maintenance requirements, and mitigate outages. In this comprehensive book, the authors cover the major aspects of Industry 6.0, including the latest advances in technology, new applications, and the many challenges that accompany the process that is changing it. This book acts as a compass, guiding readers through the labyrinth of Industry 6.0, revealing the complex interactions between technologies, new applications, innovations, and business ecosystems. From a multidisciplinary perspective, the book explores the far-reaching impact of Industry 6.0 on the business world, revealing its potential to increase productivity, improve decision-making, and open new opportunities for development.

  • Discusses the transformative impact of Industry 6.0 driven by the convergence of artificial intelligence (AI), ML, and the industrial internet of things (IIoT) in manufacturing
  • Explores the transformative potential of HRC in modern manufacturing, emphasizing the ability of HRC to boost productivity, flexibility, and safety
  • Compares several service models in cloud computing, with a focus on private, public, and community cloud deployment methods
  • Presents information about autism spectrum disorder (ASD) in children and the advanced technology of convolutional neural networks used to detect autism in children
  • Describes the accurate diagnosis of Alzheimer's disease through integrating state-of-the-art technologies, especially deep learning
  • Focuses on digital adaptation in India's agricultural sector, especially Uttar Pradesh, highlighting challenges and prospects
  • Presents a visionary leap into Agriculture 6.0, where technology and tradition converge for sustainable farming solutions
  • Provides the mitigation strategies for climate change over multiple locations
  • Explores the transformative impact of recent computational intelligence advancements in vehicle surveillance and recognition, particularly through CCTV analysis
  • Focuses on the exploration and development of a supply chain network design (SCND) model of milk products

This book will be of interest to researchers, academics, practitioners, technology providers, undergraduate and postgraduate students, scholars, consultants, advisors, and doctors. It can be used by undergraduate and postgraduate students pursuing Industry 6.0 programs in computer science and engineering across the globe.

商品描述(中文翻譯)

本書全面探討了工業6.0,這標誌著智能系統、機器學習(ML)、深度學習和人機協作(HRC)在各個領域的融合。它著重於這些技術如何使企業能夠從龐大的數據集中獲取洞察、優化運營、預測維護需求並減少故障。在這本全面的書中,作者涵蓋了工業6.0的主要方面,包括技術的最新進展、新應用以及伴隨著變革過程而來的諸多挑戰。本書如同一個指南針,引導讀者穿越工業6.0的迷宮,揭示技術、新應用、創新和商業生態系統之間的複雜互動。從多學科的角度,本書探討了工業6.0對商業世界的深遠影響,揭示了其提高生產力、改善決策和開創新發展機會的潛力。

- 討論了工業6.0的變革性影響,這是由人工智慧(AI)、機器學習(ML)和工業物聯網(IIoT)在製造業的融合所驅動的。
- 探索了HRC在現代製造中的變革潛力,強調HRC提升生產力、靈活性和安全性的能力。
- 比較了雲計算中的幾種服務模型,重點關注私有雲、公有雲和社區雲的部署方法。
- 提供有關自閉症譜系障礙(ASD)在兒童中的資訊,以及用於檢測兒童自閉症的卷積神經網絡的先進技術。
- 描述了通過整合最先進的技術,特別是深度學習,準確診斷阿茲海默症的過程。
- 專注於印度農業部門的數位適應,特別是北方邦,突顯挑戰與前景。
- 提出了一個對農業6.0的前瞻性飛躍,技術與傳統在可持續農業解決方案中交匯。
- 提供了多個地點應對氣候變遷的緩解策略。
- 探索了最近計算智能在車輛監控和識別中的變革性影響,特別是通過CCTV分析。
- 專注於牛奶產品供應鏈網絡設計(SCND)模型的探索與開發。

本書將吸引研究人員、學者、實務工作者、技術提供者、本科生和研究生、學者、顧問、顧問和醫生。它可供全球追求工業6.0計畫的計算機科學和工程的本科生及研究生使用。

作者簡介

C. Kishor Kumar Reddy is Associate Professor at the Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than ten years. He has published more than 60 research papers in national and international conferences, book chapters, and journals indexed by SCIE, Scopus, and others. He is the author of two textbooks and seven co-edited books. His research areas include atmospheric sciences, meteorology, healthcare, intelligent systems, machine learning, and deep learning.

Srinath Doss is Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for the Botswana, Lesotho, Eswatini, Namibia, and Ghana campuses. He has written several books, published more than 80 papers in international journals, and attended several prestigious conferences. He serves as an editorial member and reviewer for reputed international journals and as an advisory member for various prestigious conferences. Professor Srinath is a Member of IAENG and an Associate Member of UACEE.

Surbhi Bhatia Khan holds a doctorate in computer science and engineering in machine learning and social media analytics. She is listed in the top 2% of researchers released by Stanford University, USA. She earned project management Professional Certification from the reputed Project Management Institute, USA. She teaches in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. She holds a research position at the Lebanese American University. She also enjoys an Adjunct Professor position at Shoolini University, Himachal Pradesh, India. She has more than 12 years of academic and teaching experience at different universities. She has published 150+ papers in many reputed journals in high-indexed outlets. She has 12 international patents from India, Australia, and the USA. She has written 2 books and edited 15 books. She is working on research projects with UKRI, the Deanship of Scientific Research, the Ministry of Education from Saudi Arabia, and India. She is a Senior Member of IEEE, a Member of IEEE Young Professionals, and ACM. She has chaired several international conferences and workshops and has delivered more than 20 invited and keynote talks across the globe. She serves as an Academic Editor, Associate Editor, and Guest Editor with many reputed journals. She is the awardee of the Research Excellence Award given by King Faisal University, Saudi Arabia, in 2021. Her areas of interest include artificial intelligence, medical imaging, deep learning, machine learning, and data science.

Abdulmajeed Alqhatani is Assistant Professor at Najran University, Saudi Arabia, and the Director of Research and Graduate Studies in the Department of Information Systems, Saudi Arabia. He earned a PhD in computing and information systems at the University of North Carolina at Charlotte, USA, in 2021. His research interests include usable security and privacy, internet of things (IoT) applications in a smart city, business intelligence, and data analytics. Dr. Alqhatani's publications appear in various academic journals and conferences, including IEEE Sensors Journal and the CHI Conference on Human Factors in Computing Systems.

作者簡介(中文翻譯)

C. Kishor Kumar Reddy 是印度海得拉巴斯坦利女子工程與技術學院計算機科學與工程系的副教授。他擁有超過十年的研究和教學經驗,已在國內外會議、書籍章節及被 SCIE、Scopus 等索引的期刊上發表了超過 60 篇研究論文。他是兩本教科書和七本合編書籍的作者。他的研究領域包括大氣科學、氣象學、醫療保健、智能系統、機器學習和深度學習。

Srinath Doss 是博托大學工程與技術學院的教授及院長,負責博茨瓦納、萊索托、斯威士蘭、納米比亞和迦納的校區。他撰寫了幾本書籍,在國際期刊上發表了超過 80 篇論文,並參加了多個著名會議。他擔任多本知名國際期刊的編輯成員和審稿人,並作為顧問成員參與各種著名會議。Srinath 教授是 IAENG 的成員及 UACEE 的副成員。

Surbhi Bhatia Khan 擁有計算機科學與工程領域的博士學位,專攻機器學習和社交媒體分析。她被列入美國史丹佛大學發布的前 2% 研究人員名單。她獲得了美國著名的項目管理協會頒發的項目管理專業認證。她在英國曼徹斯特的索爾福德大學科學、工程與環境學院的數據科學系任教,並在黎巴嫩美國大學擔任研究職位。她還在印度喜馬偕爾邦的 Shoolini 大學擔任兼任教授。她在不同大學擁有超過 12 年的學術和教學經驗,已在多個高索引期刊上發表超過 150 篇論文。她擁有來自印度、澳大利亞和美國的 12 項國際專利,並撰寫了 2 本書籍和編輯了 15 本書籍。她正在與 UKRI、沙烏地阿拉伯教育部的科學研究院及印度合作進行研究項目。她是 IEEE 的高級會員、IEEE Young Professionals 和 ACM 的成員。她曾主持多個國際會議和研討會,並在全球發表了超過 20 場受邀和主題演講。她擔任多本知名期刊的學術編輯、副編輯和客座編輯。她是 2021 年獲得沙烏地阿拉伯費薩爾國王大學研究卓越獎的得主。她的研究興趣包括人工智慧、醫學影像、深度學習、機器學習和數據科學。

Abdulmajeed Alqhatani 是沙烏地阿拉伯 Najran 大學的助理教授,並擔任信息系統系的研究與研究生學習主任。他於 2021 年在美國北卡羅來納州夏洛特大學獲得計算與信息系統的博士學位。他的研究興趣包括可用的安全性和隱私、智慧城市中的物聯網 (IoT) 應用、商業智能和數據分析。Alqhatani 博士的出版物出現在多個學術期刊和會議上,包括《IEEE Sensors Journal》和人因計算系統會議 (CHI Conference on Human Factors in Computing Systems)。