Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …

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 …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

The application of the cutting-edge technologies of robotics and computer science to
structural health monitoring (SHM) of bridges have gained much attention. This review …

Rail surface defects (RSDs) are a major problem that reduces operation safety.
Unfortunately, the existing RSD detection systems have very limited accuracy. Current …

Real‐time automated drone‐based crack detection can be used for efficient building
damage assessment. This paper proposes an automated real‐time crack detection method …

Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …

Cables and hangers are critical components of long‐span bridges, tension forces of them
are needed to be accurately measured for ensuring the safety of bridges. Traditionally, cable …

Cement-asphalt pavements are widely used in transport infrastructure. Multifunctional
pavement is a novel concept that can improve the functionalities, durability, and …