Assessing and explaining temporal deep learning models for wildfire danger prediction
Modern methods for wildfire danger prediction are critical for mitigating the detrimental impacts of fires on ecosystems, public health, and the economy. While Machine Learning has emerged as a powerful approach to model the complex interactions driving wildfire risk, its ‘black-box’ nature creates...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IOP Publishing
2026-01-01
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| Edice: | Machine Learning. Earth |
| Témata: | |
| On-line přístup: | https://doi.org/10.1088/3049-4753/ae5aa0 |
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