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Titlebook: Recent Advances in Internet of Things and Machine Learning; Real-World Applicati Valentina E. Balas,Vijender Kumar Solanki,Raghvend Book 20

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发表于 2025-3-21 16:07:33 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Internet of Things and Machine Learning
副标题Real-World Applicati
编辑Valentina E. Balas,Vijender Kumar Solanki,Raghvend
视频video
概述Presents Recent Advances in Internet of Things and Machine Learning.Includes a variety of real world applications useful for Industry in IoT with Machine Learning approaches.Provides Machine Learning
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Recent Advances in Internet of Things and Machine Learning; Real-World Applicati Valentina E. Balas,Vijender Kumar Solanki,Raghvend Book 20
描述This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning..
出版日期Book 2022
关键词IoT; Internet of Things; Big Data; Machine Learning and its Applications; Machine Learning Applications
版次1
doihttps://doi.org/10.1007/978-3-030-90119-6
isbn_softcover978-3-030-90121-9
isbn_ebook978-3-030-90119-6Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
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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