Forest fires have become a major threat around the world, causing many negative impacts
on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are …

Around a third of the world's surface area is covered with forests. This is about 4–5 billion
hectares of land. We are losing an additional 3 million hectares of forest cover each year …

In this work, an improved dynamic convolutional neural network (DCNN) model to accurately
identify the risk of a forest fire was established based on the traditional DCNN model. First …

Wildfires pose a significant threat to forests and the delicate natural balance. In this work, we
present a novel optimization approach for designing forest fire monitoring systems that …

Monitoring and early warning technology for forest fires is crucial. An early
warning/monitoring system for forest fires was constructed based on deep learning and the …

Wireless sensor networks (WSNs) displays an encouraging outcome for forest fire (FF)
identification. The most serious WSN investigation tasks is forest fire's early prediction, which …

Controlling and extinguishing spreading forest fires is a challenging task that often leads to
irreversible losses. Moreover, large-scale forest fires generate smoke and dust, causing …

Multi-person cooperative positioning is essential to improve the success rate of forest rescue
operations. This research is based on inertial navigation system (INS), global navigation …

Aiming at the problems of low accuracy and slow speeding of manual and sensor detection
in existing farm fire detection. This paper proposed a real-time fire detection algorithm based …

Forest fires are among the biggest threats to forest ecosystems and forest resources, and
can lead to ecological disasters and social crises. Therefore, it is imperative to detect and …