Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …

Training deep learning models for vision-based monitoring of construction sites usually
requires a large amount of labeled data. Semisupervised learning methods can efficiently …

Enhancing energy efficiency in buildings is a pivotal strategy for reducing energy
consumption and mitigating greenhouse gas emissions. As part of global efforts to achieve …

Glass products are widely used in building envelopes. Fracture can be triggered
accidentally from the glass surface damage such as scratch. This study proposed an …

Exterior wall inspections are critical to ensuring public safety around aging buildings in
urban cities. Conventional manual approaches are dangerous, time-consuming and labor …

This article presents an intelligent self-validated sensor system developed for dynamic
objects and based on the intelligent sensor concept, which ensures autonomous data …

Neural Image Classifiers are effective but inherently hard to interpret and susceptible to
adversarial attacks. Solutions to both problems exist, among others, in the form of …

This paper concerns measurements and CFD simulations of vacuum-insulated glazing
(VIG), which consists of two glass panes separated by a narrow gap from which air has been …

Manufacturing companies are increasingly applying machine learning techniques for data-
related engineering problems, eg in quality, maintenance, or product design departments …