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Titlebook: Learning Techniques for the Internet of Things; Praveen Kumar Donta,Abhishek Hazra,Lauri Lovén Book 2024 The Editor(s) (if applicable) and

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書目名稱Learning Techniques for the Internet of Things
編輯Praveen Kumar Donta,Abhishek Hazra,Lauri Lovén
視頻videohttp://file.papertrans.cn/583/582801/582801.mp4
概述Introduces a pictorial representation of IoT.Briefly discuss advanced learning techniques for IoT.Presents the collaboration IoT-Edge-Cloud architecture for new applications
圖書封面Titlebook: Learning Techniques for the Internet of Things;  Praveen Kumar Donta,Abhishek Hazra,Lauri Lovén Book 2024 The Editor(s) (if applicable) and
描述.The book is structured into .thirteen. chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial In
出版日期Book 2024
關(guān)鍵詞Internet of Things; IoT Applications; Learning techniques; AI for Healthcare; AI for IoT; AI for Industry
版次1
doihttps://doi.org/10.1007/978-3-031-50514-0
isbn_softcover978-3-031-50516-4
isbn_ebook978-3-031-50514-0
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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