Licheng Cao

1D-CDNet: an attention-enhanced dense convolutional network for steel structural damage identification

This study addresses the challenge of extracting and classifying damage features in steel structures under multiple-damage scenarios. It aims to develop an enhanced deep learning framework for processing vibration signals, thereby advancing structural health monitoring (SHM) and enabling more accurate and intellige...