A hybrid Laplace transform finite analytic method for solving transport problems with large Peclet and Courant numbers. - Wenke Wang; Zhenxue Dai; Junting Li; Liling Zhou (Comput. Geosci., 2012)

A Deep Learning-Based Data-Driven Approach for Predicting Mining Water Inrush From Coal Seam Floor Using Microseismic Monitoring Data. - Huichao Yin; Gaizhuo Zhang; Qiang Wu; Shangxian Yin; Mohamad Reza Soltanian; Hung Vo Thanh; Zhenxue Dai (IEEE Trans. Geosci. Remote. Sens., 2023)

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites. - Shadfar Davoodi; Hung Vo Thanh; David A. Wood 003; Mohammad Mehrad; Valeriy S. Rukavishnikov; Zhenxue Dai (Expert Syst. Appl., 2023)

Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM. - Songlin Yang; Huiqing Lian; Mohamad Reza Soltanian; Bin Xu; Wei Liu; Hung Vo Thanh; Yarui Li; Huichao Yin; Zhenxue Dai (IEEE Trans. Geosci. Remote. Sens., 2024)

Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction. - Huichao Yin; Gaizhuo Zhang; Qiang Wu; Fangpeng Cui; Bicheng Yan; Shangxian Yin; Mohamad Reza Soltanian; Hung Vo Thanh; Zhenxue Dai (IEEE Trans. Geosci. Remote. Sens., 2024)

Updated multi-layer perceptron algorithm for predicting solute transport parameters and processes in karst conduits with variable flow rates. - Xiaoer Zhao; Zhenxue Dai; Mohamad Reza Soltanian; Jichun Wu; Botao Ding; Yue Ma; Dayong Wang (Environ. Model. Softw., 2025)