BISSIAM: Bispectrum Siamese Network Based Contrastive Learning for UAV Anomaly Detection

Li, T, Hong, Z, Cai, Q et al. (3 more authors) (2023) BISSIAM: Bispectrum Siamese Network Based Contrastive Learning for UAV Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering, 35 (12). pp. 12109-12124. ISSN 1041-4347

Abstract

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Item Type: Article
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Keywords: UAV anomaly detection, bispectrum, siamese network, unsupervised deep learning, contrastive learning
Dates:
  • Published: 1 December 2023
  • Published (online): 11 October 2021
  • Accepted: 1 October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/T01461X/1
Depositing User: Symplectic Publications
Date Deposited: 18 Oct 2021 09:22
Last Modified: 23 May 2024 14:08
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/tkde.2021.3118727
Open Archives Initiative ID (OAI ID):

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