A. A. Masrur Ahmed

Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

A. A. Masrur Ahmed · Journal of King Saud University - Engineering Sciences · 2014 · 161 citations · Full text

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

A. A. Masrur Ahmed, Ravinesh C. Deo, Qi Feng et al. · Journal of Hydrology · 2021 · 137 citations

Meteorology, Numerical Weather Prediction, Engineering +9

Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River

A. A. Masrur Ahmed, Syed Mustakim Ali Shah · Journal of King Saud University - Engineering Sciences · 2015 · 132 citations · Full text

Biochemical Oxygen Demand, Fuzzy Logic, Environmental Monitoring +14

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 Data

A. A. Masrur Ahmed, Ravinesh C. Deo, Nawin Raj et al. · Remote Sensing · 2021 · 88 citations · Full text

Hybrid Ceemdan-cnn-gru Model, Convolutional Neural Network, Engineering +18

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

A. A. Masrur Ahmed, Ravinesh C. Deo, Afshin Ghahramani et al. · Stochastic Environmental Research and Risk Assessment · 2021 · 72 citations

Boruta-random Forest Optimiser, Engineering, Soil Modeling +11