In various manufacturing applications such as steel, composites, and textile production, anomaly detection in noisy images is of special importance. Although there are several methods for image denois
BackgroundRoutine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machine learning (ML) for detecting and predicting medical
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw data and metadata from millions of materials synthesis and characterization experiments, as well a
