Titlebook: Data Science; 9th International Co Zhiwen Yu,Qilong Han,Zeguang Lu Conference proceedings 2023 The Editor(s) (if applicable) and The Author

Daidzein

書目名稱Data Science影響因子(影響力)




書目名稱Data Science影響因子(影響力)學(xué)科排名




書目名稱Data Science網(wǎng)絡(luò)公開度




書目名稱Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Science被引頻次




書目名稱Data Science被引頻次學(xué)科排名




書目名稱Data Science年度引用




書目名稱Data Science年度引用學(xué)科排名




書目名稱Data Science讀者反饋




書目名稱Data Science讀者反饋學(xué)科排名

ostensible

Research on Delivery Order Scheduling and Delivery Algorithmsthe problem are explained. Based on this, aiming at minimizing the overdue time, we divide the problem into two subtasks: order dispatching and routing, and propose an order dispatching strategy considering couriers’ route and a two-stage routing algorithm. Specifically, this paper improves the calc

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吹牛者

COWER

MetaCity: An Edge Emulator with the Feature of Realistic Geospatial Support for Urban Computingcal data to establish an emulation environment according to the realistic infrastructure deployment strategy and emulate the mobility process of edge devices based on the actual urban road network. MetaCity can also provide an extensible network QoS monitoring module that supports the concurrent exe

客觀

Research on Driver Monitoring Systems Based on Vital Signs and Behavior Detectionsion algorithm based on LSTM, the reliability of the system to collect vital signs such as body temperature, blood pressure, heart rate and blood oxygen of the driver is improved. It was determined that the system could monitor a driver’s driving behavior in real time and consider its health managem

客觀

People Flow Monitoring Based on Deep Learningects, such as shop rating, traffic control and flow control of scenic spots. Existing monitors are affected by different lights and cannot provide accurate data. In addition, the processing algorithm of this scheme is stable and accurate, and preprocessing is performed before judging the human flow

失望未來

Qinghai Embroidery Classification System and Intelligent Classification Researchon of Qinghai embroidery images, achieving the highest accuracy rate. This is mainly due to the small size of the Qinghai embroidery datasets and the application of the Inception structure and batch normalization technology in the GoogLeNet model, enabling it to better extract features and classify

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