Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules
Predicting forest fire spread using simulation models is crucial for the effective management of forest fires. Cellular Automaton (CA) is a key model, and CA transition rules play a decisive role in the effectiveness of the simulation, highlighting the importance of accurately defining these rules....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001591 |
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