Работы, цитирующие эту работу

Работ: 4

Работа: Fire smoke detection algorithm based on motion characteristic and 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

   ABIABI:AkademIndex/openalex/2026.other.021195

2. 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

   ABIABI:AkademIndex/openalex/2023.article.000014

3. Integrating Color and Contour Analysis with Deep Learning for Robust Fire and Smoke Detection

   Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon

   СтатьяFire Detection and Safety SystemsSensors2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000593

4. Optimizing Fire Scene Analysis: Hybrid Convolutional Neural Network Model Leveraging Multiscale Feature and Attention Mechanisms

   Shakhnoza Muksimova, Sabina Umirzakova, Mirjamol Abdullaev +1

   СтатьяFire Detection and Safety SystemsFire2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.120226