15 Papers
Ying Cao is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Landslide & Geology. The author has an hindex of 8, co-authored 8 publications.
Chat about Author
Papers
Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
Chao Zhou,Chao Zhou,Kunlong Yin,Ying Cao,Bayes Ahmed,Yuanyao Li,Filippo Catani,Hamid Reza Pourghasemi +7 more
TL;DR: Results show that the elimination of noise-generating factors and the separated modeling of each landslide type have significantly increased the prediction accuracy.
355
Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China
TL;DR: In this paper, the Particle Swarm Optimization and Support Vector Machine (PSO-SVM) coupling model based on the response of the induced factors was proposed to predict the landslide displacement.
312
Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method
TL;DR: A novel and original prediction method was proposed by combining the wavelet transform and particle swarm optimization-kernel extreme learning machine (PSO-KELM) methods, and by considering the landslide causal factors, that outperforms the other models and can be improved by considering causal factors.
Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors
TL;DR: Zhang et al. as discussed by the authors proposed an extreme learning machine (ELM) model to predict the Baijiabao landslide with step-like deformation in the Three Gorges reservoir.
154
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China
TL;DR: The comparison to global positioning system monitoring results indicated that the InSAR processing of the Muyubao landslide was accurate and reliable.
87