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05/10/2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Wildfire propagation is a highly stochastic process where small changes ...
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12/02/2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
We apply Physics Informed Neural Networks (PINNs) to the problem of wild...
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06/17/2022
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Computational simulations of wildfire spread typically employ empirical ...
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06/17/2022
Towards Data Assimilation in Level-Set Wildfire Models Using Bayesian Filtering
The level-set method is a prominent approach to modelling the evolution ...
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03/23/2022