Abstract: In this study, we propose a novel approach for learning structural dynamics and discover useful features using a supervised variational autoencoder (SVAE) with the aim of executing classification tasks that feed into ...

Abstract: This study presents a robot-assisted solution for the automated identification of bridge frequencies and high-spatial-resolution mode shapes using a minimal number of sensors. The proposed approach employs programmable ...