Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

Suitable road pavements assessment becomes essential to provide safe traffic movements
of people and goods. Moreover, a reliable transportation network is a crucial aspect of …

Ground penetrating radar (GPR) is a popular non-destructive method for detecting and
locating underground pipelines. However, manual interpretation of a large number of GPR B …

Underground utilities (UUs) are key infrastructures in urban life operations. The localization
of UUs is vital to governments and residents in terms of asset management, utility planning …

Tunnel lining inspection using ground penetrating radar (GPR) is a routine procedure to
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …

Ground‐penetrating radar (GPR) is widely used to determine the location of buried pipes
without excavation, and machine learning has been researched to automatically identify the …

Detecting buried objects from ground penetrating radar (GPR) profiles often requires manual
interaction and plenty of time. This paper presents an automatic scheme for buried objects …

Deep learning has achieved state-of-the-art performance on signal and image processing.
Due to the remarkable success, it has been applied in more challenging tasks, such as …

Deep learning (DL) has gained traction in ground-penetrating radar (GPR) tasks. However,
obtaining sufficient training data presents a significant challenge. We introduce a structure …

Convolutional neural networks (CNNs) offer a broad technical framework to deal with spatial
feature extraction and nonlinearity capture, whereas they cannot process sequence data …