Scientists David Baker's UW lab are using generative AI to target 'undruggable' proteins for creating new drugs and ...

During this process, several commonly used methods were compared and the most suitable method for preprocessing crack images was determined. Subsequently, edge detection, image stitching, and ...

In recent years, soft sensors have been widely used for real-time estimation of challenging process variables. However, their accuracy is hindered by strong nonlinearity and dynamics. To address these ...

Classify crack images and explain why using MATLAB [English] This demo shows how to fine-tune a pretrained deep convolutional network called SqueezeNet [1] to perform a crack/normal image ...

In addition to the first in-depth investigation of detecting earthquake cracks with aerial remote sensing and a deep learning-based process, the crack detection network we propose outperformed the ...

In this paper, the instance segmentation method and semantic segmentation method are used to realize the surface crack recognition of concrete structures, and a concrete crack detection method based ...

Crack detection using one-class SVM This demo shows how to detect the crack images using one-class SVM. In anomaly detection, normal images can be obtained a lot, while the anomaly images are not ...