9 citations · 10 across the 3 of their papers we have counts for
3 papers · 1 filter
FireGraphNet: Sub-daily wildfire spread prediction with directed graph neural networks
Aiyshwariya Paulvannan Kanmani, Miguel Esparza, Ali Mostafavi
Wildfire decisions are made in hours, yet most learned spread models predict daily on targets including burned area. We propose FireGraphNet which formulates 12-hour growth as node…
Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction
Miguel Esparza, Aydin Ayanzadeh, Aydin Ayanzadeh Ahmad Mousavi +2
Next-day wildfire prediction requires models whose forecasts can be evaluated alongside the assumptions and historical evidence used in their computation. Although deep learning ca…
GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface
Miguel Esparza, Vamshi Battal, Ali Mostafavi
As wildfires increasingly evolve into urban conflagrations, traditional risk models that treat structures as isolated assets fail to capture the non-linear contagion dynamics chara…