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Ish: A Hybrid Deep Learning Model for Early Forest Fire Detection
A lightweight early forest fire and smoke detection method
Yinsheng Chen, Jiahao Li, Kun Sun +1
Maqola20233 iqtibosABICNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM
Yiqing Xu, Jiaming Li, Long Zhang +2
Maqola20243 iqtibosABIForest fire surveillance systems: A review of deep learning methods
Azlan Saleh, Mohd Asyraf Zulkifley, Hazimah Haspi Harun +3
Sharh maqola20232 iqtibosABIYOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s
Jianan Wang, Changzhong Wang, Weiping Ding +1
Maqola20242 iqtibosABIReal-time detection of flame and smoke using an improved YOLOv4 network
Yifan Wang, Changchun Hua, Weili Ding +1
Maqola20222 iqtibosABIAn IoT-based forest fire detection system: design and testing
Anshul Sharma, Anand Nayyar, Kiran Jot Singh +3
Maqola20232 iqtibosABISMWE-GFPNNet: A high-precision and robust method for forest fire smoke detection
Maqola20242 iqtibosABIFire Detection with Deep Learning: A Comprehensive Review
Rodrigo Nogueira de Vasconcelos, Washington Franca-Rocha, Diego P. Costa +7
Sharh maqola20242 iqtibosABIFFD-YOLO: a modified YOLOv8 architecture for forest fire detection
Zhengjie Wang, Xu Lianghao, Zehua Chen
Maqola20252 iqtibosABIA Review of Technologies for the Early Detection of Wildfires
Ryan Honary, Jeff Shelton, Pirouz Kavehpour
Sharh maqola20252 iqtibosABI