Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
The increasing frequency and intensity of wildfires highlight the need to develop more efficient tools for firefighting and management, particularly in the field of wildfire spread prediction. Classical wildfire spread models have relied on mathematical and empirical approaches, which have trouble c...
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| Main Authors: | Henintsoa S. Andrianarivony, Moulay A. Akhloufi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/7/12/482 |
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