Hybrid CNN-Cellular Automata Model Aims to Improve Aerial Wildfire Suppression Planning
Researchers present a framework for deciding when, where, and how to deploy limited firefighting aircraft during wildfire suppression. The approach pairs a frozen hybrid convolutional neural network with a cellular automaton simulator to model fire spread and test intervention strategies. It falls in the category of applied machine learning research rather than a released product.