Flooding poses significant risks to communities in wetlands and densely urbanized regions, necessitating robust prevention ...
A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...
Abstract: Floods poses significant threats to communities, infrastructure, and ecosystems, necessitating advanced predictive models for effective flood forecasting and inundation mapping. This study ...
The Rasmussen Reports daily Presidential Tracking Poll for Wednesday shows that 46% of Likely U.S. Voters approve of President Trump’s job performance. Fifty-three (53%) disapprove. The latest figures ...
Abstract: Floods rank as the most harmful natural disaster because they lead to major fatalities and extensive damage to building infrastructure. The developed system uses machine learning to forecast ...
We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback