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Exploring machine learning regression models for advancing foreground mitigation and global 21cm signal parameter extraction.

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Title: Exploring machine learning regression models for advancing foreground mitigation and global 21cm signal parameter extraction.
Authors: Tripathi, Anshuman1 (AUTHOR) anshumantripathi85@gmail.com, Datta, Abhirup1 (AUTHOR), Kaur, Gursharanjit2 (AUTHOR)
Source: Journal of Astrophysics & Astronomy. 1/7/2026, Vol. 47 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: Exploring machine learning regression models for advancing foreground mitigation and global 21cm signal parameter extraction.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Astrophysics+%26+Astronomy%22">Journal of Astrophysics & Astronomy</searchLink>. 1/7/2026, Vol. 47 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190749675
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12036-025-10117-0
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Exploring machine learning regression models for advancing foreground mitigation and global 21cm signal parameter extraction.
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            NameFull: Tripathi, Anshuman
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            NameFull: Datta, Abhirup
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            NameFull: Kaur, Gursharanjit
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              Text: 1/7/2026
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              Y: 2026
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