Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network. - Redvan Ghasemlounia; Amin Gharehbaghi; Farshad Ahmadi; Hamid Saadatnejadgharahassanlou (Comput. Electron. Agric., 2021)

Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam. - Reza Farzad; Farshad Ahmadi; Ahmad Sharafati; Seyed Abbas Hosseini (Earth Sci. Informatics, 2023)

Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows. - Farshad Ahmadi; Redvan Ghasemlounia; Amin Gharehbaghi (Earth Sci. Informatics, 2024)

Prediction of precipitation using wavelet-based hybrid models considering the periodicity. - Farshad Ahmadi; Rasoul Mirabbasi; Rohitashw Kumar; Sarita Gajbhiye Meshram (Neural Comput. Appl., 2024)

Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region. - Amin Gharehbaghi; Redvan Ghasemlounia; Babak Vaheddoost; Farshad Ahmadi (Earth Sci. Informatics, 2025)

Reservoir evaporation prediction with integrated development of deep neural network models and meta-heuristic algorithms (Case study: Dez Dam). - Reza Farzad; Ahmad Sharafati; Farshad Ahmadi; Seyed Abbas Hosseini (Earth Sci. Informatics, 2025)