Afshin Ghahramani

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

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Daniel Wallach, Taru Palosuo, Peter J. Thorburn et al. · Environmental Modelling & Software · 2021 · 97 citations · Full text

Precision Agriculture, Engineering, Calibration +10

Effect of ground cover on splash and sheetwash erosion over a steep forested hillslope: A plot-scale study

Afshin Ghahramani, Yoshiharu Ishikawa, Takashi Gomi et al. · CATENA · 2010 · 91 citations

Plot-scale Study, Soil Erosion, Engineering +13

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

Climate change and broadacre livestock production across southern <scp>A</scp>ustralia. 1. Impacts of climate change on pasture and livestock productivity, and on sustainable levels of profitability

Andrew D. Moore, Afshin Ghahramani · Global Change Biology · 2013 · 83 citations · Full text

Engineering, Rangeland Productivity, Livestock Production +24