Lightweight Deep Learning Model for Fire Classification in Tunnels

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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Bibliographic Details
Main Authors: Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Fire
Subjects:
fire detection systems
tunnel safety
real-time classification
attention mechanisms
edge computing
lightweight
Online Access:https://www.mdpi.com/2571-6255/8/3/85
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