| Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches A Dehghani, HMZH Moazam, F Mortazavizadeh, V Ranjbar, M Mirzaei, ... Ecological Informatics 75, 102119, 2023 | 39 | 2023 |
| A novel stacked long short-term memory approach of deep learning for streamflow simulation M Mirzaei, H Yu, A Dehghani, H Galavi, V Shokri, S Mohsenzadeh Karimi, ... Sustainability 13 (23), 13384, 2021 | 21 | 2021 |
| Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation S Mohsenzadeh Karimi, M Mirzaei, A Dehghani, H Galavi, YF Huang Stochastic Environmental Research and Risk Assessment 36 (12), 4255-4269, 2022 | 11 | 2022 |
| The robustness of conceptual rainfall-runoff modelling under climate variability–A review HK Ji, M Mirzaei, SH Lai, A Dehghani, A Dehghani Journal of Hydrology 621, 129666, 2023 | 6 | 2023 |
| Implementing generative adversarial network (GAN) as a data-driven multi-site stochastic weather generator for flood frequency estimation HK Ji, M Mirzaei, SH Lai, A Dehghani, A Dehghani Environmental Modelling & Software 172, 105896, 2024 | 2 | 2024 |
| Electric Motor Health Monitoring Using a Deep Variational Autoencoder (D-VAE) A Dehghani, S Rahim, KAM Rezali, AMZ Abidin, A Mohd, ... | | 2024 |
| A Novel Framework for Nonparametric Rainfall Generator Based on Deep Convolutional Wasserstein Generative Networks (DC-WGANs) M Mirzaei, A Dehghani, A Dehghani | | 2022 |
| Hybrids of machine learning 585 techniques and wavelet regression for estimation of daily solar radiation SM Karimi, M Mirzaei, A Dehghani, H Galavi, YF Huang Stochastic Environmental Research 586, 1-15, 0 | | |
Majid MirzaeiUNIVERSITY OF MARYLAND在 umd.edu 的电子邮件经过验证
