… ame detection framework named YOLO for ame (YOLO-F) … YOLO-F is applied to detect
ames in di®erent scenarios and … achieved compared with the state-of-art detection algorithms. …

… proposed a new framework to reduce the sensitivity of various YOLO detection models and
… smoke detection. Xu et al. [18] proposed a new flame-detection framework called YOLO-F. …

… the existing fire detection models. We propose EA-YOLO, a flame and smoke detection model
… In order to improve the extraction capability of the network model for flame smoke targets’ …

… -YOLO, a novel fire detection and information extraction model based on the YOLOv5
framework. FA-YOLO incorporates a small-target detection … for small-scale flames in low-resolution …

… network, YOLO-ULNet, for real-time detection of forest fire on embedded sensing devices. …
and speed of flame and smoke detection, especially for small targets with a size of 32 × 32. …

… Building on these observations, this study introduces MEDA-YOLO, a novel detection framework
… This study presents MEDA-YOLO, a novel wildfire smoke detection model designed to …

… An effective fire detection system is not only an important guarantee … of flame features, a
video-based fire detection method … A comparison reveals that the final HK-YOLOSVM algorithm …

… Thus, this study introduces an improved fire and smoke detection approach utilizing the you
only look once (YOLO)v8-… YOLO-F [13] shows high accuracy using YOLOv3 and YOLOv4 for …

… network in smoke detection, this paper adds the attention module to YOLOv4 and replaces
… Focus module to construct the YOLO-Focus network (abbreviated as YOLO-F in this paper). …

… remote sensing is quite effective at detecting large-scale forest fires but cannot identify fires
in their early stages [6]. IoT sensor-based fire detection … In addition, the YOLO-F-measure V5 …