The recent surge in the use of Deep Neural Networks (DNNs) has also made its mark in the
field of Audio Enhancement (AE), providing much better quality than the classical methods …

Fire detection is a critical safety issue due to the major and irreversible consequences of fire,
from economic prejudices to loss of life. It is therefore of utmost importance to design …

Deep learning techniques have greatly enhanced the performance of fire detection in
videos. However, video-based fire detection models heavily rely on labeled data, and the …

Open-vocabulary learning can identify categories marked during training (seen categories)
and generalize to categories not annotated in the training set (unseen categories). It could …

For recognizing small targets, fire-like objects in fire images, and detecting fires across
various scenes, we propose a fire detection method based on feature fusion and channel …

Glass fiber, prized for its high-temperature thermal insulation and radiation resistance,
serves as a crucial material for insulating nuclear power pipelines. However, the harsh …

Wildland fires cause economic and ecological damage with devastating consequences,
including loss of life. To reduce these risks, numerous fire detection and recognition systems …

In recent years, millions of hectares of vegetation worldwide have been destroyed by
wildfires and forest fires. Computer vision-based fire classification, which separates pixels …

Pavement crack detection is an important task in the periodic inspection of pavements.
Aiming at the problems of high labor cost and low recognition rate during traditional …

The ascent of electric vehicle (EV) technology as a leading solution for green transportation
is accompanied by advancements in charging infrastructure and automation. A notable …