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

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 …

Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …

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 …

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 …

Sewer asset management gained momentum and importance in recent years due to
economic considerations, since infrastructure maintenance and rehabilitation directly …

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 …

Loss of treated water through buried pipeline leakage is one of the pressing challenges
faced by water utilities across the world. Many current pipeline inspection techniques are ad …

Developing a classifier to identify the defects from façade images using deep learning
requires abundant labeled images. However, it is time‐consuming and uneconomical to …