Comparative Analysis of Lab-Data-Driven Models for International Friction Index Prediction in High Friction Surface Treatment (HFST).
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| Title: | Comparative Analysis of Lab-Data-Driven Models for International Friction Index Prediction in High Friction Surface Treatment (HFST). |
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| Authors: | Roshan, Alireza1, Abdelrahman, Magdy1, m.abdelrahman@mst.edu |
| Source: | Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6249, 18p |
| 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: 185868934 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative Analysis of Lab-Data-Driven Models for International Friction Index Prediction in High Friction Surface Treatment (HFST). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Roshan%2C+Alireza%22">Roshan, Alireza</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Abdelrahman%2C+Magdy%22">Abdelrahman, Magdy</searchLink><relatesTo>1</relatesTo>, <i>m.abdelrahman@mst.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2025, Vol. 15 Issue 11, p6249, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185868934 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15116249 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 6249 Titles: – TitleFull: Comparative Analysis of Lab-Data-Driven Models for International Friction Index Prediction in High Friction Surface Treatment (HFST). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Roshan, Alireza – PersonEntity: Name: NameFull: Abdelrahman, Magdy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 11 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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