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Works cited by this work

35 works

Work: Lightweight Deep Learning Model for Fire Classification in Tunnels

  1. Automatic Fire and Smoke Detection Method for Surveillance Systems Based on Dilated CNNs

    Yakhyokhuja Valikhujaev, Akmalbek Abdusalomov, Young Im Cho

    Article202017 citations
    ABI

  2. Squeeze-and-Excitation Networks

    Jie Hu, Li Shen, Gang Sun

    Preprint20188 citations
    ABI

  3. CBAM: Convolutional Block Attention Module

    Sanghyun Woo, Jongchan Park, Joon‐Young Lee +1

    Chapter20186 citations
    ABI

  4. Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark

    Taimoor Ashraf Khan, Zulfiqar Ahmad Khan, Chang Choi

    Article20236 citations
    ABI

  5. Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach

    Maroua Cheknane, Tahar Bendouma, Saida Sarra Boudouh

    Article20245 citations
    ABI

  6. Real-Time Fire Detection: Integrating Lightweight Deep Learning Models on Drones with Edge Computing

    Md Fahim Shahoriar Titu, Mahir Afser Pavel, Michael Kah Ong Goh +3

    Article20243 citations
    ABI

  7. An Improved YOLOv5s Fire Detection Model

    Zhan Dou, Hang Zhou, Zhe Liu +7

    Article20232 citations
    ABI

  8. A real-time forecast of tunnel fire based on numerical database and artificial intelligence

    Xiqiang Wu, Xiaoning Zhang, Xinyan Huang +2

    Article20212 citations
    ABI

  9. Structural safety assessment of concrete tunnel lining subjected to fire

    Donatella de Silva, M. Andreini, Antonio Bilotta +4

    Article20222 citations
    ABI

  10. Tunnel fire safety management and systems thinking: Adapting engineering practice through regulations and education

    Henrik Bjelland, Jonatan Gehandler, Brian J. Meacham +4

    Article20242 citations
    ABI

  11. An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection

    Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad +1

    Article20252 citations
    ABI

  12. FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis

    Diego Gragnaniello, Antonio Greco, Carlo Sansone +1

    Article20252 citations
    ABI

  13. Efficient fire and smoke detection in complex environments via adaptive spatial feature fusion and dual attention mechanism

    Jie Hu, Lei Wang, Bo Peng +2

    Article20252 citations
    ABI

  14. MAG-FSNet:A high-precision robust forest fire smoke detection model integrating local features and global information

    Chunman Yan, Jun Wang

    Article20252 citations
    ABI

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