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Titlebook: Internet of Vehicles – Technologies and Services; Third International Ching-Hsien Hsu,Shangguang Wang,Ali Shawkat Conference proceedings 2

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發(fā)表于 2025-3-21 17:05:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Internet of Vehicles – Technologies and Services
副標(biāo)題Third International
編輯Ching-Hsien Hsu,Shangguang Wang,Ali Shawkat
視頻videohttp://file.papertrans.cn/473/472547/472547.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Internet of Vehicles – Technologies and Services; Third International  Ching-Hsien Hsu,Shangguang Wang,Ali Shawkat Conference proceedings 2
描述This book constitutes the refereed proceedings of the Third International Conference on Internet of Vehicles, IOV 2016, heldin Nadi, Fiji, in December 2016..The 22 full papers presented were carefully reviewed and selected from 55 submissions.?IOV 2016 is intended to play an important role for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IOV architectures, protocols, services, and applications, as well as to identify emerging research topics and define the future directions of IOV..
出版日期Conference proceedings 2016
關(guān)鍵詞cloud computing; dynamic multicriteria optimization; internet of things; urban environment; vehicular ad
版次1
doihttps://doi.org/10.1007/978-3-319-51969-2
isbn_softcover978-3-319-51968-5
isbn_ebook978-3-319-51969-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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https://doi.org/10.1007/978-3-319-51969-2cloud computing; dynamic multicriteria optimization; internet of things; urban environment; vehicular ad
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978-3-319-51968-5Springer International Publishing AG 2016
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A Mobile Cloud Framework for Deep Learning and Its Application to Smart Car Cameraocessing. However, huge amount of data and complex computations prevent deep learning from being practical in mobile applications. In this paper, we proposed a mobile cloud computing framework for deep learning. The architecture puts the training process and model repository in cloud platforms, and
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發(fā)表于 2025-3-23 00:37:26 | 只看該作者
iParking – Real-Time Parking Space Monitor and Guiding System with Cloud Serviceproportion. In order to satisfy the requirements of parking space and reduce illegal parking, we propose iParking, a real-time parking space monitoring and guiding system, in this paper. We lay emphasis on roadside parking. The system determines and records empty parking spaces through cloud computi
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Predictive Assessment of Response Time for Road Traffic Video Surveillance Systems: The Case of Centes depend highly on the ability to perceive mobiles within a certain radius of networked sensors, then distinguish their potential trajectory for further decision making. Most QoS measurements and evaluations used within actual literature are hardware based, and do not consider the influence of the
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Electrical Vehicle Charging Station Deployment Based on Real World Vehicle Tracext trend of mainstream vehicles. Electric vehicle (EV), which has been regarded as an important replacement for present gasoline-based vehicle, is expected to greatly reduce the carbon emissions meanwhile offer acceptable transportation ability. However, most of present market-level electric vehicle
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