Optimizing Neutrino Mass Predictions with Neural Network Algorithm and SU(2)L×U(1)Y×T7×Z10 Symmetry.
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| Title: | Optimizing Neutrino Mass Predictions with Neural Network Algorithm and SU(2)L×U(1)Y×T7×Z10 Symmetry. |
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| Authors: | Aslam, Muhammad Waheed1 (AUTHOR) waheed-979531@pu.edu.pk, Zafar, Abrar Ahmad1 (AUTHOR) |
| Source: | International Journal of Theoretical Physics. May2025, Vol. 64 Issue 5, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 185719682 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing Neutrino Mass Predictions with Neural Network Algorithm and SU(2)L×U(1)Y×T7×Z10 Symmetry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aslam%2C+Muhammad+Waheed%22">Aslam, Muhammad Waheed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> waheed-979531@pu.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Zafar%2C+Abrar+Ahmad%22">Zafar, Abrar Ahmad</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Theoretical+Physics%22">International Journal of Theoretical Physics</searchLink>. May2025, Vol. 64 Issue 5, p1-18. 18p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185719682 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10773-025-05993-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Optimizing Neutrino Mass Predictions with Neural Network Algorithm and SU(2)L×U(1)Y×T7×Z10 Symmetry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aslam, Muhammad Waheed – PersonEntity: Name: NameFull: Zafar, Abrar Ahmad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207748 Numbering: – Type: volume Value: 64 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Theoretical Physics Type: main |
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