5 citations · 9 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2021★ 4 cited
Machine Learning Percolation Model
Shu Cheng, Fei He, Huai Zhang +2
Recent advances in machine learning have become increasingly popular in the applications of phase transitions and critical phenomena. By machine learning approaches, we try to iden…
eess.SP2020★ 5 cited
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China
Shu Cheng, Xiaojuan Qiao, Yaolin Shi +1
The quantitative analyses of karst spring discharge typically rely on physical-based models, which are inherently uncertain. To improve the understanding of the mechanism of spring…