Background. The effective identification model is crucial to realize the real-time monitoring
and early warning of forest fires from surveillance cameras. Aims. However, existing models …

Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …

A fire is an extraordinary event that can damage property and have a notable effect on
people's lives. However, the early detection of smoke and fire has been identified as a …

One of the natural resources in the world is forest, because the ecosystems are directly
influenced by the forest area. So, to preserve the strong and blossoming ecosystem, forest …

Deep learning-based forest fire vision monitoring methods have developed rapidly and are
becoming mainstream. The existing methods, however, are based on enormous amounts of …

Frequent forest fires damage the ecological environment and affect people's lives. Early
monitoring of forest fire can significantly reduce the damage. Many methods have proposed …

Forest fires seriously jeopardize forestry resources and endanger people and property. The
efficient identification of forest fire smoke, generated from inadequate combustion during the …

Due to its wide monitoring range and low cost, visual-based fire detection technology is
commonly used for fire detection in open spaces. However, traditional fire detection …

Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

Wildfires pose a serious threat to the environment, ecosystems, property, biodiversity, and
human life. Early detection of wildland fires is crucial for effective firefighting and mitigation …