Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

For the detection of small targets, fire-like and smoke-like targets in forest fire images, as
well as fire detection under different natural lights, an improved Fire-YOLO deep learning …

Forests are a vital natural resource that directly influences the ecosystem. Recently, forest
fire has been a serious issue due to natural and man-made climate effects. For early forest …

Authorities and policymakers in Korea have recently prioritized improving fire prevention
and emergency response. Governments seek to enhance community safety for residents by …

Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …

Plantation forests, cultivated through artificial seeding and planting methods, are of great
significance to human society. However, most experimental sites for these forests are …

Early fire and smoke detection with computer vision have attracted much attention in recent
years, and a lot of fire detectors based on deep neural network have been proposed to …

Fire perception based on machine vision is essential for improving social safety. Object
recognition based on deep learning has become the mainstream smoke and flame …

Recently, flame detection has attracted great attention. However, existing methods have the
issues of low detection rates, high false alarm rates, and lack of smoke anti‐interference …

The advances in developing more accurate and fast smoke detection algorithms increase
the need for computation in smoke detection, which demands the involvement of personal …