Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …

Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …

In this study, an automatic autism diagnostic model based on sMRI is proposed. This
proposed model consists of two basic stages. The first stage is the preprocessing stage …

Bolt loosening is a critical factor that triggers collapse of wind turbine tower structures, and a
fast and accurate bolt loosening detection is of significant importance. This paper proposes …

This study investigates the bond performance between ultra-high-performance concrete
(UHPC) and normal strength concrete (NSC) substrate. A hoop constraint method is …

This study develops an autonomous design method for architectural shape sketches by a
novel self‐sparse generative adversarial network (self‐sparse GAN), thereby overcoming …

This paper proposes a nondestructive evaluation method based on deep learning using
combined ground‐penetrating radar (GPR) and electromagnetic induction (EMI) data for …

In this work, experiments were employed to study on fracture behaviors of concrete under
different fracture modes using cracked straight-through Brazilian disc (CSTBD) specimens …

The data‐driven approach based on plenty of high‐fidelity data such as experimental data
becomes prevalent in the prediction of structural behavior. However, sometimes the high …