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 …

Vision-based smoke detection is a quite important task in practical application. In recent
years, deep learning methods with reasonable computational complexity and accuracy are …

Recently, air quality analysis based on image sensing devices has attracted much attention.
Since most smoke images in real scenes have challenging variances, which is difficult for …

Industrial activities, through the human-induced release of Green House Gas (GHG)
emissions, have been identified as the primary cause of global warming. Accurate and …

Fires represent an important risk to an entire planet, destroying everything from huge cities
to impenetrable forests. This can be prevented using fire detection systems, but have been …

Recent years have seen notable advancements in wildfire smoke detection, particularly in
Uncrewed Aircraft Systems (UAS)-based detection employing diverse deep learning (DL) …

The sensor node series consists of a combination of several sensors that can send data to
the cloud server directly using a GSM MODEM. This article proposes a prototype of kit for fire …

Smoke detection can warn fires and prevent them. Visual-based smoke detection has
gained more attention. However, there is a lack of publicly available smoke datasets in this …

Although deep learning has been widely applied to smoke detection tasks, most of these
methods only consider the problem in normal weather, which leads to a drastic performance …

Forest fires have significantly impacted global ecosystems and human societies,
necessitating the development of efficient and accurate early smoke detection technologies …