Fire is indeed one of the major contributing factors to fatalities, property damage, and
economic disruption. A large number of fire incidents across the world cause devastation …

Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …

Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

The conventional method of manually verifying the quality of tiled sidewalks is laborious,
because of the time-consuming identification of cracks from numerous grid-like elements of …

Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …

For the detection of small targets, fire-like and smoke-like targets in forest fire images, as
well as fire detection under different natural lights, an improved Fire-YOLO deep learning …

This paper aims to develop a lightweight convolutional neural network, WearNet, to realise
automatic scratch detection for components in contact sliding such as those in metal forming …

Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …

Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Forest fires pose a significant threat to both the economy and ecology, causing extensive
damage. Smoke serves as a crucial indicator of forest fires, often appearing before the …