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7 та иш

Иш: Image fire detection algorithms based on convolutional neural networks

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

    Akmalbek Abdusalomov, Nodirbek Baratov, Alpamis Kutlimuratov +1

    МақолаFire Detection and Safety SystemsSensors202118 иқтибос
    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

    МақолаFire Detection and Safety SystemsSensors202314 иқтибос
    ABI

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

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

    МақолаFire Detection and Safety SystemsSensors202312 иқтибос
    ABI

  4. 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

    МақолаFire Detection and Safety SystemsProcesses20247 иқтибос
    ABI

  5. Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection

    Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

    МақолаFire Detection and Safety SystemsFire20247 иқтибос
    ABI

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

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

    МақолаFire Detection and Safety SystemsFuture Internet20236 иқтибос
    ABI

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

    Abror Shavkatovich Buriboev, Хошим Рахманов, Temur Soqiyev +1

    МақолаFire Detection and Safety SystemsSensors20244 иқтибос
    ABI