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

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 …

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 …

Palm oil is a renewable resource that has the potential to replace fossil fuel and
petrochemical for a better sustainable system. However, there is room for improvement in …

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 …

The sanitary sewer is a crucial underground infrastructure of any country that collects
wastewater and carries it to the treatment plant. The damage triggered by various factors …

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 …

At present, technologies based on deep learning methods for automated detection of sewer
defects have been developing rapidly. In this study, a novel semantic segmentation network …

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 …