Работы, цитирующие эту работу

Работ: 5

Работа: YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

1. An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images

   Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev +2

   СтатьяFire Detection and Safety SystemsSensors2023Цитирований: 8

   ABIABI:AkademIndex/openalex/2023.article.000027

2. 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

   ABIABI:AkademIndex/openalex/2026.other.060563

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

   Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

   СтатьяFire Detection and Safety SystemsFire2024Цитирований: 7

   ABIABI:AkademIndex/openalex/2026.other.101605

4. Object Extraction-Based Comprehensive Ship Dataset Creation to Improve Ship Fire Detection

   Farkhod Akhmedov, Sanjar Mukhamadiev, Akmalbek Abdusalomov +1

   СтатьяFire Detection and Safety SystemsFire2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.243937

5. Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection

   Xiuhao Liang, Jun Xiang, Sheng Qin +7

   СтатьяAdvanced Neural Network ApplicationsSmart Agricultural Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000809