Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

Industrialization has brought wealth, prosperity, and abundance to many nations. However,
it has had many drawbacks on people's health and the environment. Several paradigms …

Casting defects encompass a broad spectrum of imperfections, such as blow holes,
pinholes, burrs, shrinkage defects, and various metallurgical anomalies. Detecting these …

Optimisation of tissue engineering (TE) processes requires models that can identify
relationships between the parameters to be optimised and predict structural and …

Steel is a basic material, and vision-based defect recognition is important for quality.
Recently, deep learning, especially convolutional neural network (CNN), has become a …

Artificial intelligence-based algorithms are becoming essential tools in materials science-
related fields because of their excellent functionality in reflecting physics in the training …

This study proposed deep learning-based ultrasonic nondestructive testing for porosity
evaluation of additively manufactured components. First, porosity mechanisms according to …

Continued advances in machine learning (ML) and deep learning (DL) present new
opportunities for use in a wide range of applications. One prominent application of these …

Hardwood flooring products are popular construction materials because of their aesthetics,
durability, low maintenance requirements, and affordability. To ensure product quality during …

Landslides in mountain settlements are among the most widespread and dangerous
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …