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Classifying motion states of AUV based on graph representation for multivariate time series

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dc.contributor.authorFeng, Chen
dc.contributor.authorGao, Shuang
dc.contributor.authorChen, Simin
dc.contributor.authorGao, Zhongke
dc.contributor.authorGrebogi, Celso
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.date.accessioned2023-12-28T00:18:15Z
dc.date.available2023-12-28T00:18:15Z
dc.date.embargoedUntil2023-12-28
dc.date.issued2023-01-15
dc.descriptionAcknowledgement This work is supported by Natural Science Foundation of Shandong Province (ZR2020MF079) and China Scholarship Council (CSC).en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent541258
dc.identifier226149751
dc.identifier274a9d3e-79dc-4316-adf4-f9e06f1d3831
dc.identifier85145227616
dc.identifier.citationFeng, C, Gao, S, Chen, S, Gao, Z & Grebogi, C 2023, 'Classifying motion states of AUV based on graph representation for multivariate time series', Ocean Engineering, vol. 268, 113539. https://doi.org/10.1016/j.oceaneng.2022.113539en
dc.identifier.doi10.1016/j.oceaneng.2022.113539
dc.identifier.issn0029-8018
dc.identifier.otherBibtex: FENG2023113539
dc.identifier.otherORCID: /0000-0002-9811-4617/work/126803481
dc.identifier.urihttps://hdl.handle.net/2164/22493
dc.identifier.vol268en
dc.language.isoeng
dc.relation.ispartofOcean Engineeringen
dc.subjectAUVen
dc.subjectMTSCen
dc.subjectComplex networken
dc.subjectGCNNen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleClassifying motion states of AUV based on graph representation for multivariate time seriesen
dc.typeJournal articleen

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