Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …

To overcome the low efficiency of crack depth detection of steel, we explored for the first time
the method based on hyper-parameters search in the field of defect depth classification. And …

In order to further reduce the subjectivity of network design and improve the ability of model
feature extraction, an ultrasonic detection method for weld defects based on neural network …

Due to the operation of modern industrial equipment under high pressure, high speed and
high load conditions, cracks inevitably appear on the surfaces of metal components. Crack …

Carbon fibre reinforced polymer (CFRP) plays an increasingly important role in many fields,
and the non-destructive testing (NDT) for its defects is drawing more and more attention. In …

The detection of defects on the surface of carbon fiber reinforced polymer has increasingly
become the focus of modern NDT research. In this paper, the shape characterization and …

This study reviews advanced methods for corrosion detection and characterization in pipes
using thermography, with a focus on addressing the limitations posed by small datasets …

Deep convolutional neural networks (CNNs) have been widely used in surface defect
detection. However, no CNN architecture is suitable for all detection tasks and designing …

Recently, deep convolutional neural networks have been widely used in the field of
videoaction recognition. Current approaches tend to concentrate on the structure design …

In the abstract, researchers have summarized the most important aspects of the research on
the prediction of defects in casting defects using a hybrid mathematical model. To produce …