Nuclear Binding Energy Prediction for Some Odd-Mass Number Nuclei by Artificial Neural Network (ANN).
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| Title: | Nuclear Binding Energy Prediction for Some Odd-Mass Number Nuclei by Artificial Neural Network (ANN). |
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| Authors: | Ibrahim, Ruya H.1, roy21s2010@uoanbar.edu.iq, Ali, Akram Mohammed1, dr.akram@uoanbar.edu.iq |
| Source: | Baghdad Science Journal; 2025, Vol. 22 Issue 12, p4117-4129, 13p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190678123 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Nuclear Binding Energy Prediction for Some Odd-Mass Number Nuclei by Artificial Neural Network (ANN). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ibrahim%2C+Ruya+H%2E%22">Ibrahim, Ruya H.</searchLink><relatesTo>1</relatesTo>, <i>roy21s2010@uoanbar.edu.iq</i><br /><searchLink fieldCode="AU" term="%22Ali%2C+Akram+Mohammed%22">Ali, Akram Mohammed</searchLink><relatesTo>1</relatesTo>, <i>dr.akram@uoanbar.edu.iq</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Baghdad+Science+Journal%22">Baghdad Science Journal</searchLink>; 2025, Vol. 22 Issue 12, p4117-4129, 13p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190678123 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21123/2411-7986.5168 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 4117 Titles: – TitleFull: Nuclear Binding Energy Prediction for Some Odd-Mass Number Nuclei by Artificial Neural Network (ANN). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ibrahim, Ruya H. – PersonEntity: Name: NameFull: Ali, Akram Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20788665 Numbering: – Type: volume Value: 22 – Type: issue Value: 12 Titles: – TitleFull: Baghdad Science Journal Type: main |
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