An integrated deep learning framework enables rapid spatiotemporal morphodynamic predictions toward long-term simulations.
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| Title: | An integrated deep learning framework enables rapid spatiotemporal morphodynamic predictions toward long-term simulations. |
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| Authors: | Fathi, Mohamed M.1,2 (AUTHOR) m.fathi.said0@gmail.com, Liu, Zihan3 (AUTHOR), Fernandes, Anjali M.4 (AUTHOR), Hren, Michael T.5 (AUTHOR), Terry Jr., Dennis O.6 (AUTHOR), Nataraj, C.3 (AUTHOR), Smith, Virginia7 (AUTHOR) |
| Source: | Earth Surface Dynamics. 2026, Vol. 14 Issue 2, p313-327. 15p. |
| 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: 193720918 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An integrated deep learning framework enables rapid spatiotemporal morphodynamic predictions toward long-term simulations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fathi%2C+Mohamed+M%2E%22">Fathi, Mohamed M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> m.fathi.said0@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zihan%22">Liu, Zihan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fernandes%2C+Anjali+M%2E%22">Fernandes, Anjali M.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hren%2C+Michael+T%2E%22">Hren, Michael T.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Terry Jr%2E%2C+Dennis O%2E%22">Terry Jr., Dennis O.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nataraj%2C+C%2E%22">Nataraj, C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Virginia%22">Smith, Virginia</searchLink><relatesTo>7</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earth+Surface+Dynamics%22">Earth Surface Dynamics</searchLink>. 2026, Vol. 14 Issue 2, p313-327. 15p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193720918 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/esurf-14-313-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 313 Titles: – TitleFull: An integrated deep learning framework enables rapid spatiotemporal morphodynamic predictions toward long-term simulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fathi, Mohamed M. – PersonEntity: Name: NameFull: Liu, Zihan – PersonEntity: Name: NameFull: Fernandes, Anjali M. – PersonEntity: Name: NameFull: Hren, Michael T. – PersonEntity: Name: NameFull: Terry Jr., Dennis O. – PersonEntity: Name: NameFull: Nataraj, C. – PersonEntity: Name: NameFull: Smith, Virginia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21966311 Numbering: – Type: volume Value: 14 – Type: issue Value: 2 Titles: – TitleFull: Earth Surface Dynamics Type: main |
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