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5 та иш

Иш: Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures

  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. Fire Detection and Notification Method in Ship Areas Using Deep Learning and Computer Vision Approaches

    Kuldoshbay Avazov, Muhammad Kafeel Jamil, Bahodir Muminov +2

    МақолаFire Detection and Safety SystemsSensors202313 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. Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques

    Aziza Ergasheva, Farkhod Akhmedov, Akmalbek Abdusalomov +1

    МақолаFire Detection and Safety SystemsFire202412 иқтибос
    ABI

  5. 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