An optimized boosting-based machine learning model for predicting maximum scour depth around spur dikes.
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| Title: | An optimized boosting-based machine learning model for predicting maximum scour depth around spur dikes. |
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| Authors: | Singh, Balraj1, balrajzinder@gmail.com, Minocha, Vijay K.1 |
| Source: | Marine Georesources & Geotechnology; Apr2026, Vol. 44 Issue 4, p830-850, 21p |
| 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: 192434533 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An optimized boosting-based machine learning model for predicting maximum scour depth around spur dikes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Singh%2C+Balraj%22">Singh, Balraj</searchLink><relatesTo>1</relatesTo>, <i>balrajzinder@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Minocha%2C+Vijay+K%2E%22">Minocha, Vijay K.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Marine+Georesources+%26+Geotechnology%22">Marine Georesources & Geotechnology</searchLink>; Apr2026, Vol. 44 Issue 4, p830-850, 21p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192434533 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/1064119X.2025.2534968 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 830 Titles: – TitleFull: An optimized boosting-based machine learning model for predicting maximum scour depth around spur dikes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Balraj – PersonEntity: Name: NameFull: Minocha, Vijay K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1064119X Numbering: – Type: volume Value: 44 – Type: issue Value: 4 Titles: – TitleFull: Marine Georesources & Geotechnology Type: main |
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