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Titlebook: Intelligence of Things: AI-IoT Based Critical-Applications and Innovations; Fadi Al-Turjman,Anand Nayyar,Piyush Kumar Shukla Book 2021 The

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發(fā)表于 2025-3-21 18:58:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Intelligence of Things: AI-IoT Based Critical-Applications and Innovations
編輯Fadi Al-Turjman,Anand Nayyar,Piyush Kumar Shukla
視頻videohttp://file.papertrans.cn/470/469327/469327.mp4
概述Presents critical applications of AI using IoT to facilitate human needs and uplifting living standards.Discusses fundamentals, theoretical discussions, critical applications, and learning algorithms
圖書(shū)封面Titlebook: Intelligence of Things: AI-IoT Based Critical-Applications and Innovations; Fadi Al-Turjman,Anand Nayyar,Piyush Kumar Shukla Book 2021 The
描述This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysi
出版日期Book 2021
關(guān)鍵詞Internet of Things; Fog Computing; Artificial Intelligence; Terrorist Mining Data Analysis; Privacy Stan
版次1
doihttps://doi.org/10.1007/978-3-030-82800-4
isbn_softcover978-3-030-82802-8
isbn_ebook978-3-030-82800-4
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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