37 citations · 37 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Replication Study: Enhancing Hydrological Modeling with Physics-Guided Machine Learning
Mostafa Esmaeilzadeh, Melika Amirzadeh
Current hydrological modeling methods combine data-driven Machine Learning (ML) algorithms and traditional physics-based models to address their respective limitations incorrect pa…
cs.CE2023★ 37 cited
Impacts of DEM Type and Resolution on Deep Learning-Based Flood Inundation Mapping
Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour +1
The increasing availability of hydrological and physiographic spatiotemporal data has boosted machine learning's role in rapid flood mapping. Yet, data scarcity, especially high-re…