
Sweden
Department of Water Engineering, Faculty of Agricultural Engineering, Sari Agricultural Sciences
Babak Mohammadi
Address:
Natural Resources University, Sari 48181-68984, Iran
Research Interests:
hydrological modeling, machine learning, supervised learning, pan evaporation, hydroinformatics
Publications:
- Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
- A multi-objective approach for calibrating the FLEXG model to improve glacio-hydrological modelling
- Optimizing Extreme Learning Machine for Drought Forecasting: Water Cycle vs. Bacterial Foraging
- Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
- Prediction of lake water-level fluctuations using adaptive neuro-fuzzy inference system hybridized with metaheuristic optimization algorithms