Feb 8, 2023 · This research proposes a lightweight forest fire detection method (GXLD) with fog removal. Therefore, GXLD can detect a forest fire with a high accuracy in ...
Feb 8, 2023 · To solve these issues, a lightweight YOLOX-L and defogging algorithm-based forest fire detection method, GXLD, is proposed. GXLD uses the dark ...
Huang et al. [15] used an ensemble of Lightweight YOLOX-L and the defogging method to detect forest fires even in cases where fog obstructs the view of ...
Oct 30, 2024 · This study presents a novel, lightweight approach to real-time forest fire detection that is optimized for resource-constrained devices like ...
For example, Huang et al. [17] proposed a real-time forest fire-detection method called GXLD, which combines the lightweight YOLOX-L model with the dark channel ...
Huang et al. [15] used an ensemble of Lightweight YOLOX-L and the defogging method to detect forest fires even in cases where fog obstructs the view of ...
Sep 27, 2024 · #HighlyCitedPaper Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method http://mdpi.com/1424-8220/23/4/1894…
May 15, 2023 · In this paper, we propose a real-time fire detection algorithm based on MobileNetV3-large and yolov4, replacing CSP Darknet53 in yolov4 with MobileNetV3-large.
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Huang et al. [12] introduced a lightweight forest fire detection method using YOLOX-L and a defogging algorithm. However, due to the inherent challenges in ...
May 22, 2023 · In this paper, we propose an improved fire detection method YOLOv5-IFFDM for YOLOv5. Firstly, the fire and smoke detection accuracy and the ...