As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

Recently, crack segmentation studies have been investigated using deep convolutional
neural networks. However, significant deficiencies remain in the preparation of ground truth …

The incorporation of steel fibers in a concrete mix enhances the shear capacity of reinforced
concrete beams and a comprehensive understanding of this phenomenon is imperative to …

A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …

Cracks are common defects in slab tracks, which can grow and expand over time, leading to
a deterioration of the mechanical properties of slab tracks and shortening service life …

Improving the detection efficiency and maintenance benefits is one of the greatest
challenges in road testing and maintenance. To address this problem, this paper presents a …

Pavement needs to be maintained from the moment its service life begins. The maintenance
strategy is mainly based on pavement quality indexes, such as the road damage rate (DR) …

Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …

As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …