Zobrazeno 1 - 10
of 443
pro vyhledávání: '"Wang, Chenxing"'
Autor:
Xiao, Zhentao, Zheng, Yihao, Shi, Jinhong, Zhang, Zonghao, Wang, Chenxing, Huang, Haimeng, Islam, Aynul, Yang, Hongqiang
This study optimizes 28 nm planar MOSFET technology to reduce device leakage current and enhance switching speed. The specific aims are to decrease subthreshold swing (S.S.) and mitigate drain-induced barrier lowering (DIBL) effect. Silvaco TCAD soft
Externí odkaz:
http://arxiv.org/abs/2409.15015
Autor:
Wang, Chenxing
With the rapid development of location based services, multimodal spatio-temporal (ST) data including trajectories, transportation modes, traffic flow and social check-ins are being collected for deep learning based methods. These deep learning based
Externí odkaz:
http://arxiv.org/abs/2407.16123
Autor:
Chen, Yuhang, Wang, Chenxing
Reconstructing 3D human-object interaction (HOI) from single-view RGB images is challenging due to the absence of depth information and potential occlusions. Existing methods simply predict the body poses merely rely on network training on some indoo
Externí odkaz:
http://arxiv.org/abs/2407.14043
Autor:
Ma, Xinyue, Wang, Chenxing
Single-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals carrying depth. Sampling strategy and reconstruction algorithm are the k
Externí odkaz:
http://arxiv.org/abs/2209.02705
Publikováno v:
In Science of the Total Environment 10 October 2024 946
Autor:
Zhu, Xingjia, Liu, Qianqian, Zhu, Fengwei, Jiang, Rui, Lu, Zhichao, Wang, Chenxing, Gong, Peipei, Yao, Qi, Xia, Tian, Sun, Jie, Ju, Fei, Wang, Defeng, Sun, Ruifan, Zhou, Youlang, You, Bo, Shi, Wei
Publikováno v:
In Acta Biomaterialia 15 September 2024 186:424-438
Publikováno v:
In Transportation Research Part D September 2024 134
Travel Time Estimation (TTE) is indispensable in intelligent transportation system (ITS). It is significant to achieve the fine-grained Trajectory-based Travel Time Estimation (TTTE) for multi-city scenarios, namely to accurately estimate travel time
Externí odkaz:
http://arxiv.org/abs/2201.08017
Autor:
Fang, Yuchen, Qin, Yanjun, Luo, Haiyong, Zhao, Fang, Xu, Bingbing, Wang, Chenxing, Zeng, Liang
Traffic forecasting is crucial for public safety and resource optimization, yet is very challenging due to three aspects: i) current existing works mostly exploit intricate temporal patterns (e.g., the short-term thunderstorm and long-term daily tren
Externí odkaz:
http://arxiv.org/abs/2112.02740
Traffic forecasting is important in intelligent transportation systems of webs and beneficial to traffic safety, yet is very challenging because of the complex and dynamic spatio-temporal dependencies in real-world traffic systems. Prior methods use
Externí odkaz:
http://arxiv.org/abs/2112.02736