ISH
发表于 2025-3-21 17:14:11
书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0868658<br><br> <br><br>书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0868658<br><br> <br><br>
肌肉
发表于 2025-3-21 23:41:34
Identifying Requirements to Model a Data Lifecycle in Smart City Frameworksentified with aid of a data taxonomy. Furthermore, five smart city frameworks will be analyzed using requirements identified in this study as a reference, as well as a new illustrative use case that uses sensitive information will be presented.
chance
发表于 2025-3-22 03:35:03
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Endoscope
发表于 2025-3-22 08:18:39
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drusen
发表于 2025-3-22 08:44:00
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开花期女
发表于 2025-3-22 13:16:36
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Glutinous
发表于 2025-3-22 20:42:45
Building Rich Interior Hazard Maps for Public Safetyreover, we used two of the scanned buildings as a case study to illustrate our process and show detailed evaluation results. Our results show that the deep neural network . with transfer learning and hard-negative mining performs well in labeling public-safety objects in our image dataset, especiall
congenial
发表于 2025-3-23 00:12:04
A Scalable Approach to Vocation and Fleet Identification for Heavy-Duty Vehiclesdicate that both vocation and fleet identification are possible with a high level of accuracy. The macro average precision and recall of the SVM vocation classifier are approximately 85%. This result was achieved despite the fact that each vocation consisted of multiple fleets. The macro average pre
Biofeedback
发表于 2025-3-23 01:44:27
A New Traffic Sign Detection Technique Using Two-Stage Convolutional Neural Networksed out the videos acquired from highway, suburb and urban scenarios. The experimental results obtained using Faster R-CNN for detection combined with VGG for classification have demonstrated its superior performance compared to YOLOv3 and Mask R-CNN.
DENT
发表于 2025-3-23 08:02:35
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