Lightweight Deep Learning Model for Fire Classification in Tunnels
Tunnel fires pose a severe threat to human safety and infrastructure, necessitating the development of advanced and efficient fire detection systems. This paper presents a novel lightweight deep learning (DL) model specifically designed for real-time fire classification in tunnel environments. This...
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| Main Authors: | Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/8/3/85 |
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