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Titlebook: Advances in Smart Vehicular Technology, Transportation, Communication and Applications; Proceeding of the Se Yong Zhao,Tsu-Yang Wu,Lakhmi C

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发表于 2025-3-21 20:02:50 | 显示全部楼层 |阅读模式
期刊全称Advances in Smart Vehicular Technology, Transportation, Communication and Applications
期刊简称Proceeding of the Se
影响因子2023Yong Zhao,Tsu-Yang Wu,Lakhmi C. Jain
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发行地址Contains the Proceedings of the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018), held at Mount Emei, China on October 25–28, 2
学科分类Smart Innovation, Systems and Technologies
图书封面Titlebook: Advances in Smart Vehicular Technology, Transportation, Communication and Applications; Proceeding of the Se Yong Zhao,Tsu-Yang Wu,Lakhmi C
影响因子.This book highlights papers presented at the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018), which was held at Mount Emei, Sichuan Province, China from 25 to 28 October 2018. The conference was co-sponsored by Springer, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and the National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology). The conference was intended as an international forum for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications. .
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https://doi.org/10.1007/978-1-84800-141-1tial suspension displacement is 2 mm, the suspension displacement will not exceed 2 mm when the train runs to the rated airgap of 5 mm, so that the train maintains high side suspension stability. The research results of this paper provide useful design reference for the application of high speed HTS
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Geo-spatial Ontology Matching Through Compact Evolutionary Algorithmine the identical geo-spatial entities, and an optimal model is constructed for geo-spatial ontology matching problem. The experimental results show that cEA-based geo-spatial ontology matching technique can efficiently determine the alignment.
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2190-3018 rum for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications. .978-3-030-04585-2Series ISSN 2190-3018 Series E-ISSN 2190-3026
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