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Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires

Joel Janek Dabrowski, Dan Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert

2023Spatial Statistics38 citationsDOIOpen Access PDF

Topics & Concepts

Data assimilationComputer scienceBayesian probabilityUncertainty quantificationSolverForcing (mathematics)Function (biology)Set (abstract data type)Machine learningMeteorologyMathematicsArtificial intelligenceGeographyEvolutionary biologyMathematical analysisProgramming languageBiologyModel Reduction and Neural NetworksFire effects on ecosystemsMeteorological Phenomena and Simulations
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires | Litcius