arXiv cs.LG
· Papers
Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction
arXiv:2608.05265v1 Announce Type: new Abstract: Prediction of post-wildfire debris flows is critical for mitigating hazards to communities, infrastructure, and resources during intense rainfall in recently burned areas. However, identifying reliable machine learning models is complicated by overlapping debris-flow and