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Titlebook: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Netwo; Emerging Technologie Mohamed Elhoseny

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發(fā)表于 2025-3-21 19:41:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Netwo
副標(biāo)題Emerging Technologie
編輯Mohamed Elhoseny,Aboul Ella Hassanien
視頻videohttp://file.papertrans.cn/309/308408/308408.mp4
概述Presents state-of-the-art research, architectures, applications, and other advances in emerging technologies of connected and smart vehicles.Is primarily intended for researchers and students interest
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Netwo; Emerging Technologie Mohamed Elhoseny
描述.This book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner. It is primarily intended for research students interested in emerging technologies for connected Internet of Vehicles and intelligent transportation system networks; academics in higher education institutions, including universities and vocational colleges; IT professionals; policy makers; and legislators. The book can also be used as a reference resource for both undergraduate and graduate studies. Written in plain and simple language, it describes new concepts so that they are accessible to readers without prior knowledge of the field..
出版日期Book 2020
關(guān)鍵詞Intelligent Transportation Systems; Vehicular Communication; Smart Vehicle; Smart Cities; Network Techno
版次1
doihttps://doi.org/10.1007/978-3-030-22773-9
isbn_softcover978-3-030-22775-3
isbn_ebook978-3-030-22773-9Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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https://doi.org/10.1007/978-3-540-46498-3d with the appearance of the new generation 5G, the quantity of connected devices will increase in expanded way. Similarly, the creation of data in its different structures will be important. Consequently, the value of studying the distinctive storage methods. This paper introduces the different sto
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Blue/UV-A Light Signaling in Moss,l parametric characteristics and those that influence its structure. In fact, we use input and output data from a portion of the road traffic to identify a fuzzy model which makes possible the evaluation of the results of the estimated parameters obtained. This has been achievable through the combin
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