Nowadays, the challenges related to technological and environmental development are
becoming increasingly complex. Among the environmentally significant issues, wildfires …

Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …

Forest fires are destructive and rapidly spreading, causing great harm to forest ecosystems
and humans. Deep learning techniques can adaptively learn and extract features of forest …

To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

Forest fires have become a significant global threat, with many negative impacts on human
habitats and forest ecosystems. This study proposed a forest fire identification method by …

Massive wildfires have become more frequent, seriously threatening the Earth's ecosystems
and human societies. Recognizing smoke from forest fires is critical to extinguishing them at …

In the context of large-scale fire areas and complex forest environments, the task of
identifying the subtle features and aspects of fire can pose a significant challenge for the …

Foreign objects easily attach to the transmission lines because of the various laying
methods and the complex, changing environment. They have a significant impact on the …

This paper proposes a YOLO fire detection algorithm based on an attention-enhanced ghost
mode, mixed convolutional pyramids, and flame-centre detection (AEGG-FD). Specifically …

With the progressively deteriorating global ecological environment and the gradual
escalation of human activities, the survival of wildlife has been severely impacted. Hence, a …