The fact that the rapid and definitive diagnosis of autism cannot be made today and that
autism cannot be treated provides an impetus to look into novel technological solutions. To …

Feature selection (FS) is recognized for its role in enhancing the performance of learning
algorithms, especially for high-dimensional datasets. In recent times, FS has been framed as …

Lightning is a rapidly evolving phenomenon, exhibiting both mesoscale and microscale
characteristics. Its prediction significantly relies on timely and accurate data observation …

Utilizing building information modeling (BIM) for the analysis of existing pipelines
necessitates the development of a swift and precise recognition method. Deep learning …

Adverse weather conditions, such as snow-covered roads, represent a challenge for
autonomous vehicle research. This is particularly challenging as it might cause …

Existing deep learning‐based defect inspection results on images lack depth information to
fully demonstrate the sewer, despite their high accuracy. To address this limitation, a novel …

Closed-circuit television (CCTV) is a common method for drainage pipe inspection, and
currently, the interpretation of CCTV images is mostly conducted manually. In this study, an …

Many factories and power stations lack piping working drawings, thus leading to the demand
for 3D models. To address this issue, we are motivated to develop a piping measurement …