Wildfires are one of the most expensive and lethal natural disasters on the planet, destroying
millions of hectares of forest resources and endangering the lives of people and animals …

This paper proposes a real-time fire detection framework DeepFireNet that combines fire
features and convolutional neural networks, which can be used to detect real-time video …

Wildfires are one of the disasters that are difficult to detect early and cause significant
damage to human life, ecological systems, and infrastructure. There have been several …

Fire is an abnormal event which can cause significant damage to lives and property. In this
paper, we propose a deep learning-based fire detection method using a video sequence …

A wildfire is an uncontrollable fire that arises outside of a specific focus, damages property,
and poses a threat to human life and health. Thousands of fires are started every year for a …

The detection of fires in surveillance videos are usually done by utilizing deep learning. In
Spite of the advances in processing power, deep learning methods usually need extensive …

This study presents a surveillance system developed for early detection of forest fires. Deep
learning is utilized for aerial detection of fires using images obtained from a camera …

Fire is an important ecosystem process and has played a complex role in terrestrial
ecosystems and the atmosphere environment. Sometimes, wildfires are highly destructive …

Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …

Considering the rapid development of embedding surveillance video systems for fire
monitoring, we need to distribute systems with high accuracy and detection speed. Recent …