The use of geotechnologies in the field of diagnostic engineering has become ever more
present in the identification of pathological manifestations in buildings. The implementation …

This chapter delves into the transformative intersection of artificial intelligence (AI), Industrial
Internet of Things (IIoT), and data analytics within the context of emerging Industry 6.0. As …

Defect detection constitutes one of the most crucial processes in industrial production. With a
continuous increase in the number of defect categories and samples, the defect detection …

Curved ceramic materials possess corrosion-resistant, heat-resistant, and exceptional
hardness, rendering them indispensable in many critical fields, including automotive …

Detecting defects in ceramic tableware is a critical step in ensuring product quality, food
safety, durability, and aesthetics, and it is important to both manufacturers and consumers …

Defect detection is an indispensable part of the industrial intelligence process. The
introduction of the DETR model marked the successful application of a transformer for defect …

In ancient historical ceramics, for various reasons, some problems such as dirt and damage
inevitably occur, and necessary repair work must be carried out. Throughout ceramics …

This review article identifies the deep learning methods for building defects detection,
adapting an updated PRISMA guideline to ensure a rigorous and transparent review …

Convolutional neural networks (CNNs) play an important role in an increasing number of
image processing tasks. There is an obvious demand to improve their classification …

Esta investigación tiene por objetivo realizar una revisión sistemática de la literatura para
conocer las aplicaciones del Internet de las cosas y la industria 4.0 en la ingeniería …