Работы, цитирующие эту работу

Работ: 3

Работа: Real-time video fire/smoke detection based on CNN in antifire surveillance systems

1. 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

2. Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks

   Shakhnoza Muksimova, Sabina Umirzakova, Sevara Mardieva +1

   СтатьяFire Detection and Safety SystemsSensors2021Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.076932

3. Object detection in real-time video surveillance using attention based transformer-YOLOv8 model

   Divya Nimma, Omaia Al-Omari, Rahul Pradhan +4

   СтатьяVideo Surveillance and Tracking MethodsAlexandria Engineering Journal2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000010