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A multi-task deep learning approach for automatic classification and redshift measurement of astronomical spectra.

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Title: A multi-task deep learning approach for automatic classification and redshift measurement of astronomical spectra.
Authors: Zheng, Mingyu1, Tu, Liangping1, Xu, Zhenyang1, Jiang, Yue1, Wang, Yuanjin1, Mao, Yu1, Lu, Yuanbao1
Source: Publications of the Astronomical Society of Japan; Jun2026, Vol. 78 Issue 3, p958-975, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194432297
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A multi-task deep learning approach for automatic classification and redshift measurement of astronomical spectra.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194432297
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/pasj/psag032
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 958
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      – TitleFull: A multi-task deep learning approach for automatic classification and redshift measurement of astronomical spectra.
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            NameFull: Zheng, Mingyu
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            NameFull: Xu, Zhenyang
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            NameFull: Wang, Yuanjin
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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