Abstract: The problem of quickest anomaly detection in networks with unlabeled samples is studied. At some unknown time, an anomaly emerges in the network and changes the data-generating distribution ...

Abstract: As the different distributions between the source and target domains, rolling bearing fault diagnosis based on domain adaptation (DA) has achieved a good result in unlabeled sample fault ...