Industry 4.0 and Machine Learning: Concepts, Strategies, and Innovations for Modern Manufacturing
暫譯: 工業4.0與機器學習:現代製造的概念、策略與創新
Kushwah, Vivek Singh, Bagwari, Ashish, Vasanth, K.
- 出版商: CRC
- 出版日期: 2026-09-25
- 售價: $8,100
- 貴賓價: 9.5 折 $7,695
- 語言: 英文
- 頁數: 348
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041100884
- ISBN-13: 9781041100881
-
相關分類:
Machine Learning
尚未上市,無法訂購
商品描述
This book explores how machine learning algorithms can be applied to Industry 4.0 technologies to enhance their capabilities. It discusses how machine learning can be used for predictive maintenance in smart factories, optimizing supply chain management, and improving quality control through advanced data analytics and also:
- Presents advanced machine learning techniques such as deep learning, reinforcement learning, and ensemble methods specifically tailored for Industry 4.0 applications.
- Explores the integration of machine learning with other Industry 4.0 technologies such as the Internet of Things, big data analytics, cyber-physical systems, and cloud computing.
- Showcases in-depth case studies and real-world examples from various industrial sectors that illustrate successful implementations of machine learning in Industry 4.0.
- Addresses key challenges faced in implementing Industry 4.0 technologies, such as data integration, interoperability, cybersecurity, and scalability.
- Discusses artificial intelligence-driven automation, digital twins, autonomous systems, and the implications of these technologies for the future of manufacturing and industrial engineering.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, manufacturing engineering, and industrial engineering.
商品描述(中文翻譯)
這本書探討了機器學習演算法如何應用於工業4.0技術,以增強其能力。它討論了機器學習如何用於智慧工廠的預測性維護、優化供應鏈管理,以及通過先進的數據分析改善質量控制,並且:
- 提出了專門針對工業4.0應用的先進機器學習技術,如深度學習、強化學習和集成方法。
- 探索了機器學習與其他工業4.0技術的整合,如物聯網、大數據分析、網路物理系統和雲計算。
- 展示了來自各個工業領域的深入案例研究和實際範例,說明機器學習在工業4.0中的成功實施。
- 解決了在實施工業4.0技術時面臨的關鍵挑戰,如數據整合、互操作性、網絡安全和可擴展性。
- 討論了人工智慧驅動的自動化、數位雙胞胎、自主系統,以及這些技術對未來製造和工業工程的影響。
該文本主要針對電機工程、電子與通信工程、計算機科學與工程、製造工程和工業工程的高年級本科生、研究生和學術研究人員撰寫。
作者簡介
Vivek Singh Kushwah is presently working as Professor in the Department of Electronics and Communications Engineering, at Chaitanya Bharathi Institute of Technology affiliated to Osmania University, Hyderabad, India. He is a senior member of the Institute of Electrical and Electronics Engineers and a fellow of IETE. His areas of research interest include microwave engineering, microstrip antennas, and microstrip filters. He has published more than sixty research papers in journals of national and international reputation. He has also published more than twenty papers in conferences.
Ashish Bagwari is the head of the Electronics and Communications Engineering Department at the Women Institute of Technology Dehradun, India. His areas of research interest include cognitive radio networks, mobile communication, sensor networks, wireless networks, analog communication, wireless and 5G communication, digital communication, and mobile ad-hoc networks. He has published more than one hundred and twenty research papers in journals and conferences of national and international reputation.
K. Vasanth serves as Associate professor and head in the Department of Electronics and Communications Engineering, at Chaitanya Bharathi Institute of Technology affiliated to Osmania University, Hyderabad, India. His areas of research interest include signal processing, image processing, video processing, and VLSI signal processing. He has published more than a hundred research papers in journals and conferences of national and international reputation.
Jorge Luis Victória Barbosa serves as full Professor of applied computing at the University of Vale do Rio dos Sinos (UNISINOS), head of the university's Mobile Computing Lab, and a researcher at the Brazilian Council for Scientific and Technological Development. His main research interest is context prediction using context histories, mainly through similarity and pattern analysis. He has published research papers in journals and conferences of national and international repute.
Jose Alfredo Herrera Quispe serves as the Principal professor, and Director of the School of Computer Science, at National Major University of San Marcos, Peru. He is part of the professionalization program at MIT (Massachusetts Institute of Technology - USA), where he completed a ""Master's in Innovation & Design Thinking"". His lines of research are Artificial Intelligence, Data Mining, and Computing applied to the environment. He has published research papers in journals and conferences of national and international repute.
作者簡介(中文翻譯)
Vivek Singh Kushwah 目前在印度海得拉巴的奧斯曼尼亞大學附屬的 Chaitanya Bharathi Institute of Technology 電子與通信工程系擔任教授。他是電氣與電子工程師學會的資深會員及 IETE 的院士。他的研究興趣包括微波工程、微帶天線和微帶濾波器。他在國內外知名期刊上發表了超過六十篇研究論文,並在會議上發表了超過二十篇論文。
Ashish Bagwari 是印度德拉敦女性科技學院電子與通信工程系的系主任。他的研究興趣包括認知無線電網絡、移動通信、傳感器網絡、無線網絡、類比通信、無線及 5G 通信、數字通信和移動自組網。他在國內外知名期刊和會議上發表了超過一百二十篇研究論文。
K. Vasanth 擔任印度海得拉巴奧斯曼尼亞大學附屬的 Chaitanya Bharathi Institute of Technology 電子與通信工程系的副教授及系主任。他的研究興趣包括信號處理、影像處理、視頻處理和 VLSI 信號處理。他在國內外知名期刊和會議上發表了超過一百篇研究論文。
Jorge Luis Victória Barbosa 擔任巴西瓦萊多里奧多西諾斯大學 (UNISINOS) 的應用計算全職教授,並且是該大學移動計算實驗室的負責人,同時也是巴西科學與技術發展委員會的研究員。他的主要研究興趣是利用上下文歷史進行上下文預測,主要通過相似性和模式分析。他在國內外知名期刊和會議上發表了研究論文。
Jose Alfredo Herrera Quispe 擔任秘魯聖馬爾科斯國立大學計算機科學學院的首席教授及院長。他是麻省理工學院 (MIT) 專業化計劃的一部分,並完成了「創新與設計思維碩士學位」。他的研究方向包括人工智慧、數據挖掘和應用於環境的計算。他在國內外知名期刊和會議上發表了研究論文。