Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zhongyin Xu"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 142-155 (2024)
Generating novel molecules to satisfy specific properties is a challenging task in modern drug discovery, which requires the optimization of a specific objective based on satisfying chemical rules. Herein, we aim to optimize the properties of a speci
Externí odkaz:
https://doaj.org/article/d8b0e9f8a84f4fd4aa2e1221577e300a
Publikováno v:
Linear and Multilinear Algebra. :1-24
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-12
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:5008-5022
The additional microwave radiation from underground rock mass (lithosphere) that is caused by tectonic activity and alternating crustal stress has been shown to be a detectable electromagnetic signal via satellite remote sensing. However, the emissio
Publikováno v:
2021 CIE International Conference on Radar (Radar).
Autor:
Shian Cui, Yanping Sheng, Zhibin Wang, Haichuan Jia, Wenli Qiu, Ahmed Abdulakeem Temitope, Zhongyin Xu
Publikováno v:
Construction and Building Materials. 347:128453
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:5578-5587
Previous studies have shown that thermal infrared anomalies can be detected in the crust rocks in satellite infrared images before an earthquake. However, thermal infrared remote sensing is easily affected by weather conditions because of the short w
Publikováno v:
Earthquake Science. 24:577-582
The satellite remote sensing has become a promising technique for detecting earthquake and fault activities. But it is still very difficult to exactly extract the earthquake anomaly from the complicated remote sensing information. This paper presente
Autor:
Xinyu Chen, Yufeng Xie, Yaochen Sheng, Hongwei Tang, Zeming Wang, Yu Wang, Yin Wang, Fuyou Liao, Jingyi Ma, Xiaojiao Guo, Ling Tong, Hanqi Liu, Hao Liu, Tianxiang Wu, Jiaxin Cao, Sitong Bu, Hui Shen, Fuyu Bai, Daming Huang, Jianan Deng, Antoine Riaud, Zihan Xu, Chenjian Wu, Shiwei Xing, Ye Lu, Shunli Ma, Zhengzong Sun, Zhongyin Xue, Zengfeng Di, Xiao Gong, David Wei Zhang, Peng Zhou, Jing Wan, Wenzhong Bao
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Here, the authors demonstrate the application of machine learning to optimize the device fabrication process for wafer-scale 2D semiconductors, and eventually fabricate digital, analog, and optoelectrical circuits.
Externí odkaz:
https://doaj.org/article/6c132ca7f0c2440991fc669856c74e87
Publikováno v:
PIERS Proceedings; Aug2014, p1393-1400, 8p