Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …

To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

This study investigated operational and structural health monitoring (SHM) as well as
damage evaluations for building structures. The study involved damage detection and the …

Crack detection in masonry façades is a crucial task for ensuring the safety and longevity of
buildings. However, traditional methods are often time-consuming, expensive, and labour …

This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

This paper explores the capabilities of decision tree ensembles (DTEs) for detecting and
localizing damage in structural health monitoring (SHM). Unlike research on many other …

This paper is concerned with an improved Vehicle Scanning Method (VSM) for modal
properties identification of bridges with allowances for damping and road roughness. Owing …

Due to the fact that uncertainties in the field of geotechnical engineering are inescapable
because this part of civil engineering deals largely with natural materials, the dependability …