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Hui, Yongchao, Cheng, Yuehua, Jiang, Bin, Han, Xiaodong, Yang, Lei (2023) A Novel Approach to Satellite Component Health Assessment Based on the Wasserstein Distance and Spectral Clustering. Applied Sciences, 13 (16) 9438 doi:10.3390/app13169438

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Reference TypeJournal (article/letter/editorial)
TitleA Novel Approach to Satellite Component Health Assessment Based on the Wasserstein Distance and Spectral Clustering
JournalApplied Sciences
AuthorsHui, YongchaoAuthor
Cheng, YuehuaAuthor
Jiang, BinAuthor
Han, XiaodongAuthor
Yang, LeiAuthor
Year2023 (August 21)Volume13
Issue16
PublisherMDPI AG
DOIdoi:10.3390/app13169438Search in ResearchGate
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Mindat Ref. ID16661652Long-form Identifiermindat:1:5:16661652:1
GUID0
Full ReferenceHui, Yongchao, Cheng, Yuehua, Jiang, Bin, Han, Xiaodong, Yang, Lei (2023) A Novel Approach to Satellite Component Health Assessment Based on the Wasserstein Distance and Spectral Clustering. Applied Sciences, 13 (16) 9438 doi:10.3390/app13169438
Plain TextHui, Yongchao, Cheng, Yuehua, Jiang, Bin, Han, Xiaodong, Yang, Lei (2023) A Novel Approach to Satellite Component Health Assessment Based on the Wasserstein Distance and Spectral Clustering. Applied Sciences, 13 (16) 9438 doi:10.3390/app13169438
In(2023, August) Applied Sciences Vol. 13 (16) MDPI AG

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