The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …

An effective forest-fire response is critical for minimizing the losses caused by forest fires.
The purpose of this study is to construct a model for early fire detection and damage area …

Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …

Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …

Fire is one of the most commonly occurring disasters and is the main cause of catastrophic
personal injury and devastating property damage. An early detection system is necessary to …

In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …

Forest fire poses a serious threat to wildlife, environment, and all mankind. This threat has
prompted the development of various intelligent and computer vision based systems to …

Forest fires are one of the main causes of environmental degradation nowadays. Current
surveillance systems for forest fires lack in supporting real-time monitoring of every point of a …

Fire is a severe natural calamity that causes significant harm to human lives and the
environment. Recent works have proposed the use of computer vision for developing a cost …

Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …