Transforming Industries: Capturing the Potential of Iiot and ML in the Era of Industry 5.0
暫譯: 轉型產業：在工業5.0時代捕捉IIoT與機器學習的潛力
Kalra, Ashima, Rani, Sita, Kumar, Ravinder
商品描述
The rapid convergence of the industrial internet of things (IIoT) and machine learning (ML) is propelling us into a new era known as Industry 5.0. This era is defined by unparalleled levels of automation, customization, and sustainability. Despite these advancements, there is a noticeable absence of comprehensive resources that offer a complete understanding of these transformative technologies and their practical applications across various industrial sectors. Transforing Industries: Capturing the Potential of IIoT and ML in the Era of Industry 5.0 aims to fill the void by providing a timely and relevant guide that explores the theoretical foundations of the technologies while also presenting real-world case studies and best practices.
This comprehensive text discusses the profound impact of the IIoT and ML on various sectors, including manufacturing, supply chain management, and energy production. It provides a thorough examination of the opportunities and obstacles associated with these cutting-edge technologies. Through real-world case studies and success stories, readers gain insight into how industry leaders have successfully leveraged IIoT and ML solutions to optimize operational efficiency, foster innovation, and achieve unparalleled excellence. Practical strategies and detailed guidelines are also offered to facilitate the seamless integration of these technologies into existing workflows, empowering businesses to navigate the complexities of digital transformation with confidence. The focus of this publication also extends to future trends and potential disruptors in the era of Industry 5.0, equipping readers with the knowledge needed to anticipate and adapt to emerging challenges. Furthermore, the exploration of how IIoT and ML can streamline resource allocation, minimize waste, and promote sustainable practices underscores the alignment of technological advancements with corporate, environmental, and social responsibilities.
By equipping industry leaders, professionals, and entrepreneurs with actionable insights, this book will empower businesses to stay ahead of the curve, foster innovation, optimize resource utilization, and ultimately gain a competitive advantage in the ever-evolving manufacturing landscape.
商品描述(中文翻譯)
工業物聯網 (IIoT) 與機器學習 (ML) 的快速融合正將我們推向一個被稱為工業 5.0 的新時代。這個時代的特徵是前所未有的自動化、客製化和可持續性。儘管有這些進步，但明顯缺乏全面的資源來提供對這些變革性技術及其在各個工業領域的實際應用的完整理解。《轉型產業：在工業 5.0 時代捕捉 IIoT 和 ML 的潛力》旨在填補這一空白，提供一個及時且相關的指南，探索這些技術的理論基礎，同時呈現現實世界的案例研究和最佳實踐。
這本全面的著作討論了 IIoT 和 ML 對各個領域的深遠影響，包括製造業、供應鏈管理和能源生產。它對這些尖端技術所帶來的機會和挑戰進行了徹底的檢視。通過現實世界的案例研究和成功故事，讀者可以深入了解行業領導者如何成功利用 IIoT 和 ML 解決方案來優化運營效率、促進創新並實現無與倫比的卓越。書中還提供了實用的策略和詳細的指導，以促進這些技術與現有工作流程的無縫整合，使企業能夠自信地應對數位轉型的複雜性。本出版物的重點還延伸到工業 5.0 時代的未來趨勢和潛在顛覆者，為讀者提供預測和適應新興挑戰所需的知識。此外，探討 IIoT 和 ML 如何簡化資源配置、最小化浪費並促進可持續實踐，強調了技術進步與企業、環境和社會責任之間的對齊。
通過為行業領導者、專業人士和企業家提供可行的見解，本書將使企業能夠保持領先地位，促進創新，優化資源利用，並最終在不斷演變的製造業中獲得競爭優勢。
作者簡介
Ashima Kalra is a distinguished academic and researcher currently serving as an Associate Professor in the Electronics & Communication Engineering Department at Chandigarh Engineering College (CGC-CGC), Landran, India with over 21 years of teaching experience at both undergraduate and postgraduate levels. Her research interests encompass artificial intelligence, neural networks, fuzzy systems, and machine learning.
Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Her research interests include Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Healthcare, and Sustainable Development.
Ravinder Kumar is a distinguished educator and researcher in Computer Science and Engineering, with over 20 years of excellence in teaching and research. He is currently an Associate Professor at the Thapar Institute of Engineering and Technology (TIET), where he has made significant contributions to academia and research. His research interests span algorithms, combinatorial optimization, and machine learning, bridging theoretical advancements with real-world applications.
Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates, and an Adjunct Professor at School of Technology, Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems.
作者簡介(中文翻譯)
Ashima Kalra 是一位傑出的學者和研究者，目前擔任印度昌迪加爾工程學院 (CGC-CGC) 電子與通信工程系的副教授，擁有超過 21 年的本科及研究生教學經驗。她的研究興趣包括人工智慧、神經網絡、模糊系統和機器學習。
Sita Rani 在印度盧迪亞納的古魯納納克德夫工程學院計算機科學與工程系工作。她的研究興趣包括數據科學、人工智慧、機器學習、區塊鏈技術、醫療保健和可持續發展。
Ravinder Kumar 是計算機科學與工程領域的傑出教育者和研究者，擁有超過 20 年的教學和研究卓越經歷。他目前是塔帕爾工程與技術學院 (TIET) 的副教授，並在學術和研究方面做出了重要貢獻。他的研究興趣涵蓋算法、組合優化和機器學習，將理論進展與實際應用相結合。
Ahmed A. Elngar 是埃及貝尼蘇埃夫大學計算機與人工智慧學院計算機系的副教授及系主任，阿聯酋美國大學計算機信息技術學院的計算機科學副教授，以及印度沃克森大學技術學院的兼任教授。他是科學創新研究小組 (SIRG) 的創始人和負責人，並擔任貝尼蘇埃夫大學計算機與人工智慧學院技術與信息研究中心 (TISC) 的主任。他的其他研究領域包括物聯網 (IoT)、網絡安全、入侵檢測、機器學習、數據挖掘和人工智慧、大數據、身份驗證、密碼學、醫療系統和自動化系統。
