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http://purl.org/net/nknouf/ns/bibtex#Article +
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https://dblp.org/rdf/schema#createdBy
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https://dblp.org/pid/16/10338 +
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https://dblp.org/rdf/schema#documentPage
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https://doi.org/10.1109/TII.2020.3046036 +
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https://dblp.org/rdf/schema#doi
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https://doi.org/10.1109/TII.2020.3046036 +
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https://dblp.org/db/journals/tii/tii17 +
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5
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https://dblp.org/rdf/schema#pagination
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6820-6831
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https://doi.org/10.1109/TII.2020.3046036 +
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https://dblp.org/rdf/schema#publishedIn
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IEEE Trans. Ind. Informatics
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https://dblp.org/rdf/schema#publishedInJournal
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IEEE Trans. Ind. Informatics
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https://dblp.org/rdf/schema#publishedInJournalVolume
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17
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https://dblp.org/rdf/schema#publishedInJournalVolumeIssue
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10
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https://dblp.org/rdf/schema#publishedInStream
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https://dblp.org/streams/journals/tii +
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https://dblp.org/rdf/schema#title
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Time-Series Regeneration With Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation.
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https://dblp.org/rdf/schema#yearOfPublication
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2021
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https://doi.org/10.1109/TII.2020.3046036 +
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rdfs:label |
Xuewen Zhang et al.: Time-Series Regeneration With Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation. (2021)
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