Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM). - Nian Zhang; Xiangguang Dai; Md Amimul Ehsan; Tolessa Deksissa (ISNN, 2020)

A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification. - Juan F. Ramirez Rochac; Nian Zhang; Lara A. Thompson; Tolessa Deksissa (Comput. Intell. Neurosci., 2021)

Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory. - Juan F. Ramirez Rochac; Nian Zhang; Tolessa Deksissa; Wagdy H. Mahmoud (BigDataService, 2022)

A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow. - Juan F. Ramirez Rochac; Nian Zhang; Tolessa Deksissa; Jiajun Xu; Lara A. Thompson (ICDM (Workshops), 2022)

Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin. - Nian Zhang; Stephanie Rouamba; Gavin Robinson; Tolessa Deksissa (ICACI, 2024)