This study proposes a novel self‐training framework for unsupervised domain adaptation in
the segmentation of concrete wall cracks using accumulated crack data. The proposed …

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 …

Abstract Generative Adversarial Networks (GANs) have emerged as a powerful tool rapidly
advancing the state-of-the-art in numerous domains. This paper conducts a comprehensive …

During the regular service life of high‐speed railway (HSR), there might be serious defects
in the concrete slabs of the infrastructure systems, which may further significantly affect …

Earlier identification of bolt loosening is crucial to maintain structural integrity and prevent
system‐level collapse. In this study, a novel drone‐based 3D vision methodology has been …

Bridge photographs contain significant technical information, such as damaged structural
parts and types of damage, yet interpreting these details is not always straightforward …

High‐resolution (HR) crack images offer more detailed information for assessing structural
conditions compared to low‐resolution (LR) images. This wealth of detail proves …

Infrastructure operation and maintenance is essential for societal safety, particularly in
Japan where the aging of infrastructures built during the period of high economic growth is …

The segmentation accuracy of bridge crack images is influenced by high‐frequency light,
complex scenes, and tiny cracks. Therefore, an integration–competition network (complex …

Most masonry constructions exhibit significant crack patterns caused by differential
foundation settlements. While modern numerical methods effectively address forward …