A GAN-based anomaly detector using multi-feature fusion and selection
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DOI: 10.1038/s41598-024-52378-9
Abstract: In numerous applications, abnormal samples are hard to collect, limiting the use of well-established supervised learning methods. GAN-based models which trained in an unsupervised and single feature set manner have been proposed by simultaneously considering… read more here.
Keywords: feature set; multi feature; wave ganomaly; gan based ... See more keywords