Abstract: AbstractMonitoring track irregularity is vital for ensuring the safety and comfort of railway transportation. Accurate predictions of track irregularities allow infrastructure managers (IMs) to develop cost-effective ...

Abstract: AbstractThis study proposes mix transformer-enhanced UNet (MiTE-UNet), an improved UNet architecture based on a hybrid convolutional neural network (CNN)–transformer framework, for concrete building surface defect segmentation. ...