Artificial Intelligence in the Selection of Top-Performing Athletes for Team Sports: A Proof-of-Concept Predictive Modeling Study.
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| Title: | Artificial Intelligence in the Selection of Top-Performing Athletes for Team Sports: A Proof-of-Concept Predictive Modeling Study. |
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| Authors: | Mănescu, Dan Cristian1, dan.manescu@defs.ase.ro, Mănescu, Andreea Maria2 |
| Source: | Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9918, 31p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188321435 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence in the Selection of Top-Performing Athletes for Team Sports: A Proof-of-Concept Predictive Modeling Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mănescu%2C+Dan+Cristian%22">Mănescu, Dan Cristian</searchLink><relatesTo>1</relatesTo>, <i>dan.manescu@defs.ase.ro</i><br /><searchLink fieldCode="AU" term="%22Mănescu%2C+Andreea+Maria%22">Mănescu, Andreea Maria</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Sep2025, Vol. 15 Issue 18, p9918, 31p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15189918 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 9918 Titles: – TitleFull: Artificial Intelligence in the Selection of Top-Performing Athletes for Team Sports: A Proof-of-Concept Predictive Modeling Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mănescu, Dan Cristian – PersonEntity: Name: NameFull: Mănescu, Andreea Maria IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 18 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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