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Chunwei Hu, Xianfeng Liu, Sheng Wu, Fei Yu, Yongkun Song and Jin Zhang
Accurate crowd flow prediction is essential for traffic guidance and traffic control. However, the high nonlinearity, temporal complexity, and spatial complexity that crowd flow data have makes this problem challenging. This research proposes a dynamic g...
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Xianfeng Wu and Xiangyu Li
China fully built a wealthy society but faced a serious COVID-19 epidemic together with the rest of the world. The emergence of the epidemic highlights the importance of sports parks for physical activity. By reviewing national fitness policies and ident...
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Hanyu Xiang, Xianfeng Huang, Feng Lan, Chong Yang, Yunlong Gao, Wenyu Wu and Fan Zhang
With the expansion of model scale and the improvement of model accuracy, the real-time rendering and displaying of 3D mesh models remain infeasible. To relieve such pressure, mesh simplification methods have been proposed to reduce the structural complex...
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Xianfeng Wu, Zhipeng Kou, Philip Oldfield, Tim Heath and Katharina Borsi
Informal learning spaces play a significant role in enriching student experiences in learning environments. Such spaces are becoming more common, resulting in a change to the spatial configuration of built environments in higher education. However, previ...
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Wenqi Cui, Xin He, Meng Yao, Ziwei Wang, Jie Li, Yuanjie Hao, Weijie Wu, Huiling Zhao, Xianfeng Chen and Wei Cui
When a landslide happens, it is important to recognize the hazard-affected bodies surrounding the landslide for the risk assessment and emergency rescue. In order to realize the recognition, the spatial relationship between landslides and other geographi...
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