Recent advances in explainable Machine Learning models for wildfire prediction

Climate change has caused increasingly frequent occurrences of forest fires around the world. Machine Learning (ML) and Artificial Intelligence models have emerged to predict both the onset of wildfires and evaluate the extent of damage a wildfire would cause. However, understanding what factors lea...

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Veröffentlicht in:	Applied computing and geosciences Jg. 27; S. 100266
Hauptverfasser:	Sengupta, Abira, Woodford, Brendon J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025 Elsevier
Schlagworte:	Explainable artificial intelligence Forest fires Hyper-parameter optimisation Machine learning SHAP values Explainable artificial intelligence Hyper-parameter optimisation SHAP values Forest fires Machine learning
ISSN:	2590-1974, 2590-1974
Online-Zugang:	Volltext
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