In the present study, the utilization of sound data in research and technology is examined,
data classification techniques are analyzed, and the applicability and necessity of these …

Automated construction monitoring assists site managers in managing safety, schedule, and
productivity effectively. Existing research focuses on identifying construction sounds to …

The sounds of work activities and equipment operations at a construction site provide critical
information regarding construction progress, task performance, and safety issues. The …

The sound recognition technology, which has been adopted in diverse disciplines, has not
received much attention in the construction industry. Since each working and operation …

In the past, diagnoses of the internal defects of ageing concrete members by sound tests
have relied on the ability and experience of the inspector. However, with the development of …

In this study, a convolutional neural network (CNN) model was developed for non-
destructive damage classification of concrete materials based on acoustic emission …

The vibrating of concrete is one of the most important procedures that directly determines the
quality of construction projects. The concrete vibration quality in field construction is mainly …

The vibration quality of concrete is crucial to ensure the long-term safe operation of concrete
structural components. In recent years, computer vision technology based on deep learning …

Over the preceding several decades, the architectural, engineering, and construction (AEC)
industries have witnessed significant advances due to the rapid development of information …

In a dynamic construction site, sound generated by work activities and equipment operations
is one of vital field data indicating construction progress, work performance, and safety …