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Titlebook: Recent Trends and Advances in Artificial Intelligence and Internet of Things; Valentina E. Balas,Raghvendra Kumar,Rajshree Sriva Book 2020

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發(fā)表于 2025-3-21 18:16:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Trends and Advances in Artificial Intelligence and Internet of Things
編輯Valentina E. Balas,Raghvendra Kumar,Rajshree Sriva
視頻videohttp://file.papertrans.cn/824/823368/823368.mp4
概述Provides new directions of research in the fields of AI and IoT.Gathers recent research in emerging artificial intelligence methods and IoT methods.Presents recent research in artificial intelligence
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Recent Trends and Advances in Artificial Intelligence and Internet of Things;  Valentina E. Balas,Raghvendra Kumar,Rajshree Sriva Book 2020
描述.This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and
出版日期Book 2020
關(guān)鍵詞Machine Learning; Big Data; Applications and Case Studies; Sensor Based Machine Learning; Health Informa
版次1
doihttps://doi.org/10.1007/978-3-030-32644-9
isbn_softcover978-3-030-32646-3
isbn_ebook978-3-030-32644-9Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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1868-4394 sights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and978-3-030-32646-3978-3-030-32644-9Series ISSN 1868-4394 Series E-ISSN 1868-4408
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