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Machine learning-based classification of active galaxies and estimation of supermassive black hole masses.

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Title: Machine learning-based classification of active galaxies and estimation of supermassive black hole masses.
Authors: Mazoochi, F1, Karimi, R2, Zhoolideh Haghighi, M H2, Tabatabaei, F S3
Source: Monthly Notices of the Royal Astronomical Society; Jun2026, Vol. 548 Issue 4, p1-10, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193856954
AccessLevel: 2
PubType: Academic Journal
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/mnras/stag627
    Languages:
      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1
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      – TitleFull: Machine learning-based classification of active galaxies and estimation of supermassive black hole masses.
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            NameFull: Mazoochi, F
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            NameFull: Karimi, R
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            NameFull: Zhoolideh Haghighi, M H
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            – D: 01
              M: 06
              Text: Jun2026
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              Y: 2026
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              Value: 548
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              Value: 4
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