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Titlebook: AI, IoT, Big Data and Cloud Computing for Industry 4.0; Amy Neustein,Parikshit N. Mahalle,Gitanjali Rahul Book 2023 The Editor(s) (if app

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發(fā)表于 2025-3-21 17:34:59 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱AI, IoT, Big Data and Cloud Computing for Industry 4.0
影響因子2023Amy Neustein,Parikshit N. Mahalle,Gitanjali Rahul
視頻videohttp://file.papertrans.cn/143/142847/142847.mp4
發(fā)行地址Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated.Motivates readers to address challenges in the areas of speech communication and signal processing.Provides n
學科分類Signals and Communication Technology
圖書封面Titlebook: AI, IoT, Big Data and Cloud Computing for Industry 4.0;  Amy Neustein,Parikshit N. Mahalle,Gitanjali Rahul  Book 2023 The Editor(s) (if app
影響因子.This book.?.presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services.?The?book?emphasizes?that?at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture..Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporatedin Industry 4.0 applications.Motivates readers to address challenges in the areas of speech communication and signal processing.Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
Pindex Book 2023
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Lecture Notes in Computer Sciencethe IoT but has extended to the Internet of everything (IoE). Nowadays, smart environments require digitally connecting every device and collaborative interaction among them. Such a huge development of IoT devices is promoting voluminous data generation, and these billions of data are being managed
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https://doi.org/10.1007/978-3-031-42921-7the important strategies for achieving these goals. Machine learning (ML) is a good candidate for PdM, since current machines come with a large quantity of operational data. PdM and ML for rotary systems (bearing failures) have both been discussed extensively in review publications. The number of ar
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