|
|
|
Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
ver más
|
|
|
|
|
|
|
Yuqing Zhong, Xiaoxiang Zhang, Yanfei Yang and Minghui Xue
Mountainous cities face various land use challenges, including complex topography, low land use efficiency, and the insufficient control of land use in small-scale areas at the urban fringe. Considering population changes, environmental conservation, and...
ver más
|
|
|
|
|
|
|
Daqiao Zhang, Xiaolong Zheng, Yangguang Xie and Xiaoxiang Hu
The controller design of hypersonic flight vehicles is a challenging task, especially when its flexible states are immeasurable. Unfortunately, the flexible states are difficult to measure directly. In this paper, an angular-accelerometer-based method fo...
ver más
|
|
|
|
|
|
|
Tianjun Zhu, Chuang Zhang, Tunglung Wu, Zhuang Ouyang, Houzhi Li, Xiaoxiang Na, Jianguo Liang and Weihao Li
The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive driver fatigue detection algorithm based on facial landmarks to improve the detection accuracy, which detects the d...
ver más
|
|
|
|
|
|
|
Chang Li, Mingxin Chen, Fen Li, Xiaoxiang Sun, Zhuoliang Yu, Jiayou Tao, Zhijun Zou, Gaohua Liao and Jianjun Zhang
The presence of self-assembled nano-ridged (SANR) structures in PTB7-Th:PC70BM:PC60BM ternary organic blend film with the specific component ratio was experimentally clarified, and the light-trapping effect of the SANR structures was demonstrated. On thi...
ver más
|
|
|
|
|
|
|
Xiaoxiang Zhang, Jing Yao, Katarzyna Sila-Nowicka and Yuhao Jin
Many Chinese cities currently are facing increased urban fire risks particularly at places such as urban villages, high-rise buildings and large warehouses. Using a unique historical fire incident dataset (2002?2013), this paper is intended to explore th...
ver más
|
|
|
|
|
|
|
Xiaoxiang Zhang, Jing Yao and Katarzyna Sila-Nowicka
|
|
|
|