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Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. (2024)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/embc53108.2024.10781973

PubMed Identifier: 40039827

Publication URI: http://europepmc.org/abstract/MED/40039827

Type: Journal Article/Review

Volume: 2024

Parent Publication: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

ISSN: 2375-7477