As civil engineering projects become more complex, ensuring the integrity of infrastructure is
essential. Traditional inspection methods may damage structures, highlighting the need for …

Cultural heritage (CH) constructions involve the use of diverse masonry materials. Under
natural and human influences, masonry materials can undergo various types of damages …

Condition assessment of civil infrastructure from manual inspections can be time consuming,
subjective, and unsafe. Advances in computer vision and Deep Neural Networks (DNNs) …

Defect detection technology is vital for ensuring the safety of pipelines during transportation.
However, the current methods for defect detection using machine vision rely on having …

In this study, a nondestructive testing (NDT) technique was developed to estimate the plastic
properties of aluminum (Al) alloys using machine learning (ML) based on ultrasonic and …

Generative adversarial networks (GANs), as a powerful tool for inverse materials discovery,
are being increasingly applied in various fields of materials science. This review provides …

Composite 3D printing is a significant engineering application owing to its robustness, ability
to achieve complex geometries, and ease of use. Polycarbonate, particularly when infused …

Laser weld point detection is crucial in modern industrial manufacturing, yet it faces
challenges such as a limited number of samples, uneven distribution, and diverse, irregular …

Welding defects have a significant influence on welding quality and structural strength, and
the rapid and accurate detection of welding defects is required. In order to achieve this goal …

Active learning is an important technology to solve the lack of data in crack detection model
training. However, the sampling strategies of most existing active learning methods for crack …