Applying computer science techniques such as artificial intelligence (AI), deep learning (DL),
and computer vision (CV) on digital image data can help monitor and preserve cultural …

Cement-based foam has emerged as a strong contender in sustainable construction owing
to its superior thermal and sound insulation properties, fire resistance, and cost …

This review intends to illustrate the fruitful collaboration between chemometrics and cultural
heritage science. It showcases past achievements, aiming to inspire numerous cultural …

Civil engineering structures in operation are likely to suffer damage. During the service life,
structural damage evolves gradually from minor to severe. However, most current studies …

Abstract Machine learning-assisted vibration monitoring is an intelligent, automated, and
popular strategy for evaluating civil structures and damage alarming. However …

Field monitoring via ambient vibration tests is a reliable approach to assessing the health
and integrity of masonry structures. However, the implementation of long-term field …

There is no analytical solution to the deflection influence line of catenary hingeless arches
nor an explicit solution to the deflection influence line difference curvature of variable section …

Internet of Things (IoT) has been widely applied in architectural heritage preservation. To
explore and summarize the new applications, a systematic review of the research in the last …

Current methods for rapidly inspecting structures are difficult to document and subjective.
Automating the process with innovative technologies is necessary to overcome these …

The present study advances the metro structure monitoring system, which has been
hindered by technological constraints limiting the comprehensive and precise collection of …