A nondestructive detection method that combines convolutional neural network (CNN) and
photoluminescence (PL) imaging was proposed for the multi-classification and multi-grading …

Abstract Unmanned Aerial Vehicle (UAV) remote sensing object recognition plays a vital
role in a variety of sectors including military, agriculture, forestry, and construction. Accurate …

In order to mitigate the risk of irreversible drowning injuries, this study introduces an
enhanced YOLOv5 algorithm aimed at improving the efficacy of indoor swimming pool …

Lotus pods in unstructured environments often present multi-scale characteristics in the
captured images. As a result, it makes their automatic identification difficult and prone to …

Purpose Fire smoke detection in petrochemical plant can prevent fire and ensure production
safety and life safety. The purpose of this paper is to solve the problem of missed detection …

Detecting and recognizing distress types on road pavement is crucial for selecting the most
appropriate methods to repair, maintain, prevent further damage, and ensure the smooth …

During steel galvanisation, immersing steel strip into molten zinc forms a protective coating.
Uniform coating thickness is crucial for quality and is achieved using air knives which wipe …

The Transformer-based deep networks have increasingly shown significant advantages
over CNNs. Some existing work has applied it in the field of wildfire recognition or detection …

Wildfires are a significant natural hazard, resulting in financial losses, human deaths, and
environmental damage. Due to the rising severity and frequency of wildfires, wildfire …

Wildfires usually lead to a large amount of property damage and threaten life safety. Image
recognition for fire detection is now an important tool for intelligent fire protection, and the …