This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Crack is common damage that can reduce the durability of concrete structures and
accelerate structural degradation. With intent to improve the accuracy and efficiency of …

Cracking is one of the typical damages in concrete structures, and it is crucial to detect and
quantify cracks in a timely and efficient manner. However, current research primarily focuses …

Fatigue cracks in bridges are inspected visually by specialized bridge inspection
professionals. Bridge inspectors conduct inspections in a limited amount of time, and at …

The presence of road cracks is an important indicator of damage. Deep learning is a
prevailing method for detecting cracks in road surface images because of its detection …

Regular inspection and management of building defects are vital for the structural integrity of
buildings, but traditional manual methods often lead to inefficiencies and misjudgments in …

This paper introduces a software architecture for real-time object detection using machine
learning (ML) in an augmented reality (AR) environment. Our approach uses the recent state …

In this paper, we present a method based on an ensemble of convolutional neural networks
(CNNs) for the prediction of residual drift capacity in unreinforced damaged masonry walls …

Road maintenance operators often work in dangerous environments and are in need of a
support system to enhance their safety and efficiency. Augmented reality (AR) has proven to …

This study presents a novel, deep‐learning‐based model for the automated reconstruction
of a cross‐sectional drawing from stereo photographs. Targeted cross‐sections captured in …