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 …

With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …

Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Pavement distress detection is crucial in the decision-making for maintenance planning.
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …

In order to improve the efficiency and accuracy of bridge crack detection, this paper
introduces Deep Learning for bridge crack detection with Unmanned Aerial Vehicles …

Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …

Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …

In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …