Machine learning for wildfire classification: Exploring blackbox, eXplainable, symbolic, and SMOTE methods
Whether triggered by natural or human-made events, wildfires are considered one of the most traumatic events to our community and environment. Thus, properly predicting wildfires continues to be an active area of research. This work showcases a statistical overview of the problem of wildfires and th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2022-09-01
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| Series: | Natural Hazards Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666592122000373 |