YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model
Global warming has driven a marked increase in forest fire occurrences, underscoring the critical need for timely and accurate detection to mitigate fire-related losses. Existing forest fire detection algorithms face limitations in capturing flame and smoke features in complex natural environments,...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-05-01
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| Serija: | Fire |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2571-6255/8/5/183 |
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