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Lihua Fang
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2020 – today
- 2024
- [j5]Guanshen Liu
, Renqi Lu, Dengfa He, Lihua Fang
Deep Blind Fault Activity - A Fault Model of Strong Mw 5.5 Earthquake Seismogenic Structures in North China. Remote. Sens. 16(10): 1796 (2024)
2010 – 2019
- 2019
- [i2]Lijun Zhu, Zhigang Peng, James H. McClellan, Chenyu Li, Dongdong Yao, Zefeng Li, Lihua Fang:
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake. CoRR abs/1901.06396 (2019) - [i1]Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong:
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. CoRR abs/1911.09275 (2019) - 2017
- [j4]Shuai Wang, Caijun Xu
Slip Model for the 25 November 2016 Mw 6.6 Aketao Earthquake, Western China, Revealed by Sentinel-1 and ALOS-2 Observations. Remote. Sens. 9(4): 325 (2017) - 2016
- [j3]Nantian Huang, Huaijin Chen
Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Wavelet Time-Frequency Entropy and One-Class Support Vector Machine. Entropy 18(1): 7 (2016) - [j2]Nantian Huang, Lihua Fang, Guowei Cai, Dianguo Xu, Huaijin Chen
Mechanical Fault Diagnosis of High Voltage Circuit Breakers with Unknown Fault Type Using Hybrid Classifier Based on LMD and Time Segmentation Energy Entropy. Entropy 18(9): 322 (2016) - [j1]Nantian Huang, Huaijin Chen
Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Variational Mode Decomposition and Multi-Layer Classifier. Sensors 16(11): 1887 (2016)
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