The environmental challenges the world faces nowadays have never been greater or more
complex. Global areas covered by forests and urban woodlands are threatened by natural …

Early stage smoke detection using image and video analysis is an important area of
research due to its enormous applications in mitigating fire hazards and ensuring …

The Transformer network was originally proposed for natural language processing. Due to
its powerful representation ability for long-range dependency, it has been extended for …

Existing vision-based smoke recognition methods still face the issues of low detection rates
and high false alarm rates in complex scenes. One reason is that they label light smoke and …

Forest fires pose a significant threat to both the economy and ecology, causing extensive
damage. Smoke serves as a crucial indicator of forest fires, often appearing before the …

Smoke detection is an advance caution to the unforeseen great damage events. Therefore, it
is required to identify the smoke in the course of initial stages for preventing fire events. A …

Fire disaster throughout the globe causes social, environmental, and economical damage,
making its early detection and instant reporting essential for saving human lives and …

Smoke has semi-transparency property leading to highly complicated mixture of background
and smoke. Sparse or small smoke is visually inconspicuous, and its boundary is often …

In recent decades, global warming has contributed to an increase in the number and
intensity of wildfires destroying millions hectares of forest areas and causing many …

The recent development of deep learning based fire detection techniques and the
availability of smart cameras able to execute these algorithms on the edge paved the way for …