Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …

Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …

Corrosion is known as the gradual destruction of materials, leading to structural integrity loss
and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to …

The drainage system is an important part of civil infrastructure. However, the underground
sewage pipe will gradually suffer from defects over time, such as tree roots, deposits …

Targeting the defect classification from 3D point clouds, this research develops a deep
learning method named the Transformer-based point cloud classification network …

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 …

Conventional deep-learning-based inspection methods for sewer pipeline defects neglect
the complex inner environment of pipelines (eg, fog and motion blur) and real-time …