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Работы, цитирующие эту работу

Работ: 7

Работа: 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

    СтатьяFire Detection and Safety SystemsSensors2021Цитирований: 18
    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

    СтатьяFire Detection and Safety SystemsSensors2023Цитирований: 14
    ABI

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

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

    СтатьяFire Detection and Safety SystemsSensors2023Цитирований: 12
    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

    СтатьяFire Detection and Safety SystemsProcesses2024Цитирований: 7
    ABI

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

    Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

    СтатьяFire Detection and Safety SystemsFire2024Цитирований: 7
    ABI

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

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

    СтатьяFire Detection and Safety SystemsFuture Internet2023Цитирований: 6
    ABI

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

    Abror Shavkatovich Buriboev, Хошим Рахманов, Temur Soqiyev +1

    СтатьяFire Detection and Safety SystemsSensors2024Цитирований: 4
    ABI