|
|
|
|
|
Xu Chen, Zihe Wang and Xuan Di
This paper aims to leverage Twitter data to understand travel mode choices during the pandemic. Tweets related to different travel modes in New York City (NYC) are fetched from Twitter in the two most recent years (January 2020?January 2022). Building on...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangtao Yu, Yunhai Ma, Shuo Wang, Zihe Xu, Xuanting Liu, Hubiao Wang, Hongyan Qi, Lijun Han and Jian Zhuang
This work proves the feasibility and effectiveness of biomimetic macroscopic surface modification method to reduce the draught force of potato digging shovels based on mole rat?s digits, which is also a reference and experience for the optimization and m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuequan Zhang, Wei Liu, Bing Liu, Xin Zhao and Zihe Hu
A high-fidelity 3D urban building model requires large quantities of detailed textures, which can be non-tiled or tiled ones. The fast loading and rendering of these models remain challenges in web-based large-scale 3D city visualization. The traditional...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuequan Zhang, Jin Liu, Zihe Hu and Ming Zhong
The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zihe Hu, Jing Guo and Xuequan Zhang
Underground pipe network is a critical city infrastructure, which plays an important role in smart city management. As the detailed three-dimensional (3D) scene of underground pipe networks is difficult to construct, and massive numbers of pipe points an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zihe Zhou and Bo Tian
The text data of the social network platforms take the form of short texts, and the massive text data have high-dimensional and sparse characteristics, which does not make the traditional clustering algorithm perform well. In this paper, a new community ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenggang, G. Tiangang, L. Zihe, Z.
Pág. 123 - 132
|
|
|
|
|
|