Improving the Performance of the YOLOv11 Model for Fire and Smoke Detection Using Hyperparameter Tuning
Reducing losses and responding quickly to events depends on early detection of fires. Artificial intelligence has contributed significantly to the development of accurate and reliable detection systems for detecting and classifying the presence of objects. The most prominent shortcomings observed in...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Anhalt University of Applied Sciences
2025-08-01
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| Seria: | Proceedings of the International Conference on Applied Innovations in IT |
| Hasła przedmiotowe: | |
| Dostęp online: | https://icaiit.org/paper.php?paper=13th_ICAIIT_4/2_1 |
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