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Titlebook: Smart Cities: A Data Analytics Perspective; Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Book 2021 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 16:24:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Smart Cities: A Data Analytics Perspective
編輯Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez
視頻videohttp://file.papertrans.cn/869/868664/868664.mp4
概述Focuses on the interplay role between Smart Cities and IoT technology from architecture and infrastructure perspective that includes theories, methodologies, techniques, and tools, in practice.Present
叢書名稱Lecture Notes in Intelligent Transportation and Infrastructure
圖書封面Titlebook: Smart Cities: A Data Analytics Perspective;  Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez  Book 2021 The Editor(s) (if applicable) and
描述.This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms.? There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts,
出版日期Book 2021
關(guān)鍵詞Smart Cities; Data Management in Smart Cities; Data Analytics Smart Cities; Sensor Network; Smart Enviro
版次1
doihttps://doi.org/10.1007/978-3-030-60922-1
isbn_softcover978-3-030-60924-5
isbn_ebook978-3-030-60922-1Series ISSN 2523-3440 Series E-ISSN 2523-3459
issn_series 2523-3440
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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