Titlebook: Smart Cities, Green Technologies, and Intelligent Transport Systems; 10th International C Cornel Klein,Matthias Jarke,Oleg Gusikhin Confere

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书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems网络公开度学科排名




书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems被引频次




书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems被引频次学科排名




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书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems年度引用学科排名




书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems读者反馈




书目名称Smart Cities, Green Technologies, and Intelligent Transport Systems读者反馈学科排名

肌肉

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

Endoscope

drusen

开花期女

Glutinous

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

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

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