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7 ta ish

Ish: Detection of Wildfire Smoke Images Based on a Densely Dilated Convolutional Network

  1. An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems

    Akmalbek Abdusalomov, Nodirbek Baratov, Alpamis Kutlimuratov +1

    MaqolaFire Detection and Safety SystemsSensors202118 iqtibos
    ABI

  2. An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach

    Akmalbek Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov +2

    MaqolaFire Detection and Safety SystemsSensors202314 iqtibos
    ABI

  3. A YOLOv6-Based Improved Fire Detection Approach for Smart City Environments

    Saydirasulov Norkobil Saydirasulovich, Akmalbek Abdusalomov, Muhammad Kafeel Jamil +3

    MaqolaFire Detection and Safety SystemsSensors202312 iqtibos
    ABI

  4. An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images

    Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev +2

    MaqolaFire Detection and Safety SystemsSensors20238 iqtibos
    ABI

  5. Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches

    Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov +1

    MaqolaFire Detection and Safety SystemsProcesses20247 iqtibos
    ABI

  6. Forest Fire Detection and Notification Method Based on AI and IoT Approaches

    Kuldoshbay Avazov, An Eui Hyun, A. S. +3

    MaqolaFire Detection and Safety SystemsFuture Internet20236 iqtibos
    ABI

  7. Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques

    Abror Shavkatovich Buriboev, Хошим Рахманов, Temur Soqiyev +1

    MaqolaFire Detection and Safety SystemsSensors20244 iqtibos
    ABI