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Titlebook: Machine Learning Techniques for Smart City Applications: Trends and Solutions; D. Jude Hemanth Book 2022 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 16:03:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning Techniques for Smart City Applications: Trends and Solutions
編輯D. Jude Hemanth
視頻videohttp://file.papertrans.cn/621/620427/620427.mp4
概述Presents an in-depth coverage on different variety of applications related with smart cities.Maximizes reader’s insights about the role of machine learning in different applications of smart cities.In
叢書名稱Advances in Science, Technology & Innovation
圖書封面Titlebook: Machine Learning Techniques for Smart City Applications: Trends and Solutions;  D. Jude Hemanth Book 2022 The Editor(s) (if applicable) and
描述.This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners..
出版日期Book 2022
關(guān)鍵詞Smart Transportation; Smart Surveillance; Smart Health; Smart Infrastructure; Smart Energy
版次1
doihttps://doi.org/10.1007/978-3-031-08859-9
isbn_softcover978-3-031-08861-2
isbn_ebook978-3-031-08859-9Series ISSN 2522-8714 Series E-ISSN 2522-8722
issn_series 2522-8714
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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D. Jude HemanthPresents an in-depth coverage on different variety of applications related with smart cities.Maximizes reader’s insights about the role of machine learning in different applications of smart cities.In
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Advances in Science, Technology & Innovationhttp://image.papertrans.cn/m/image/620427.jpg
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2522-8714 achine learning in different applications of smart cities.In.This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with
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Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context,model the non-linear relationship between the predictors and outcome variables. Based on the findings, we discussed the implications of the present study within the context of improving citizens’ lives in smart cities.
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Emergency Department Management Using Regression Models,ctor regression are considered for the prediction of the patient flow in Emergency Departments. The hazardous COVID-19 pandemic and its impact on the mounting crisis in the EDs is also discussed. The challenges and suggestive methods are also discussed here.
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