Forest fires are one of the world's deadliest natural disasters. Early detection of forest fires
can help minimize the damage to ecosystems and forest life. In this paper, we propose an …

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 …

Forest is an important resource for human survival, and forest fires are a serious threat to
forest protection. Therefore, the early detection of fire and smoke is particularly important …

Open burning is the main factor contributing to the occurrence of wildfires in Thailand, which
every year result in forest fires and air pollution. Open burning has become the natural …

The frequent occurrence of forest fires causes irreparable damage to the environment and
the economy. Therefore, the accurate detection of forest fires is particularly important. Due to …

Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging
task. The traditional image processing method relies heavily on manmade features, which is …

Background Extreme wildfires pose a serious threat to forest vegetation and human life
because they spread more rapidly and are more intense than conventional wildfires …

Forest fires result in severe disaster, causing significant ecological damage and substantial
economic losses. Flames and smoke represent the predominant characteristics of forest …

Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …

Forest fire is a severe natural disaster, which leads to the destruction of forest ecology. At
present, fire detection technology represented by convolutional neural network is widely …