![Journal of Water-Hydrology-Babak Mohammadi](https://oap-researchnetwork.org/uploads/1678515133_e271c2dcae80ee1ef83f.jpg)
Sweden
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12,SE-223 62 Lund, Sweden
Babak Mohammadi
Research Interests:
Hydrology, Glaciology, Machine Learning, Remote Sensing, hydro informatics
Publications:
- Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
- Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin
- IHACRES, GR4J and MISD‑based multi conceptual‑machine learning approach for rainfall‑runoff modeling
- Prediction of Soil Cation Exchange Capacity Using Enhanced Machine Learning Approaches in the Southern Region of the Caspian Sea
- Application of Machine Learning and Remote Sensing in Hydrology