Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicityA. A. Masrur Ahmed, Linshan Yang, Zhenliang Yin et al.|Journal of Hydrology|2021Cited by 144
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index DataA. A. Masrur Ahmed, Linshan Yang, Zhenliang Yin et al.|Remote Sensing|2021Cited by 95
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenariosA. A. Masrur Ahmed, Linshan Yang, Zhenliang Yin et al.|Stochastic Environmental Research and Risk Assessment|2021Cited by 73
New double decomposition deep learning methods for river water level forecastingA. A. Masrur Ahmed, Linshan Yang, Zhenliang Yin et al.|The Science of The Total Environment|2022Cited by 70
Hybrid deep learning method for a week-ahead evapotranspiration forecastingA. A. Masrur Ahmed, Linshan Yang, Zhenliang Yin et al.|Stochastic Environmental Research and Risk Assessment|2021Cited by 60