Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Computation"
DOI: 10.1007/s12559-019-09710-7
Abstract: Deep learning (DL), regarded as a breakthrough machine learning technique, has proven to be effective for a variety of real-world applications. However, DL has not been actively applied to condition monitoring of industrial assets, such… read more here.
Keywords: detection; semi supervised; anomaly detection; gas turbine ... See more keywords
Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos
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DOI: 10.1109/lsp.2021.3117737
Abstract: Weakly Supervised Anomaly Detection (WSAD) in surveillance videos is a complex task since usually only video-level annotations are available. Previous work treated it as a regression problem by giving different scores on normal and anomaly… read more here.
Keywords: detection; weakly supervised; anomaly detection; surveillance videos ... See more keywords
Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3174088
Abstract: Although various weakly supervised anomaly detection methods have been proposed in recent years, generalization of anomaly detection is still not well-explored. Existing weakly supervised methods usually use normal and abnormal events to pose anomaly detection… read more here.
Keywords: weakly supervised; open data; detection; anomaly detection ... See more keywords
Erratum: Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach: publisher's note.
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DOI: 10.1364/boe.438948
Abstract: [This corrects the article on p. 4713 in vol. 12.]. read more here.
Keywords: weakly supervised; anomaly segmentation; erratum weakly; segmentation retinal ... See more keywords