Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. - Jan Mandel; Jonathon Hirschi; Adam K. Kochanski; Angel Farguell; James Haley; Derek V. Mallia; Bryan Shaddy; Assad A. Oberai; Kyle A. Hilburn (CoRR, 2023)

Custom Loss Functions in Fuel Moisture Modeling. - Jonathon Hirschi (CoRR, 2025)

Time-Warping Recurrent Neural Networks for Transfer Learning. - Jonathon Hirschi (CoRR, 2026)

Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks. - Jonathon Hirschi; Jan Mandel; Adam K. Kochanski (CoRR, 2026)