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Titlebook: Industry 4.0 Driven Manufacturing Technologies; Ajay Kumar,Parveen Kumar,Yang Liu Book 2024 The Editor(s) (if applicable) and The Author(s

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發(fā)表于 2025-3-21 19:33:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Industry 4.0 Driven Manufacturing Technologies
編輯Ajay Kumar,Parveen Kumar,Yang Liu
視頻videohttp://file.papertrans.cn/477/476082/476082.mp4
概述Provides case studies showing solutions from industry and society.Integrates Industry 4.0 tools, e.g., digital twins, artificial intelligence, nature-inspired algorithms, and the IoT.Bridges the gap b
叢書名稱Springer Series in Advanced Manufacturing
圖書封面Titlebook: Industry 4.0 Driven Manufacturing Technologies;  Ajay Kumar,Parveen Kumar,Yang Liu Book 2024 The Editor(s) (if applicable) and The Author(s
描述.This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology...With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production...Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book...The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthca
出版日期Book 2024
關(guān)鍵詞Intelligent Manufacturing; Industry 4; 0; Digital Twin; Artificial Intelligence; Internet of things; Cyber
版次1
doihttps://doi.org/10.1007/978-3-031-68271-1
isbn_softcover978-3-031-68273-5
isbn_ebook978-3-031-68271-1Series ISSN 1860-5168 Series E-ISSN 2196-1735
issn_series 1860-5168
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:43:11 | 只看該作者
Springer Series in Advanced Manufacturinghttp://image.papertrans.cn/i/image/476082.jpg
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978-3-031-68273-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Experimental Investigation of Process Parameters Effects on Extrusion Blow Molding Process Using Rey to get easily molded and low production cost make it better a choice than other materials. Industry 4.0 concepts and technologies are playing vital role in manufacturing sector. Among the available processes extrusion molding is popularly used for producing the plastic products. The production tim
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