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 …

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

Increasing death rates, damage to properties, and loss of trees can be caused by fires. In
Australia and the United States of America, many fire incidents are reported annually. Due to …

This paper proposes a forest fire detection framework using superpixel-based suspicious fire
region proposal and light-weight convolutional neural network. The proposed methodology …

The importance of power plant safety is increasing in the era of gradual technological
development. When a fire occurs in the power plant, it will cause huge material losses …

Fires are becoming one of the major natural hazards that threaten the ecology, economy,
human life and even more worldwide. Therefore, early fire detection systems are crucial to …

For fire detection, there are characteristics such as variable samples feature morphology,
complex background and dense targets, small samples size of dataset and imbalance of …

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 …

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 …

Forest fire has the characteristics of sudden and destructive, which threatens safety of
people's life and property. Automatic detection and early warning of forest fire in the early …