Integrated machine learning segmentation and 3D change detection for a scalable coastal cliff monitoring workflow.
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| Title: | Integrated machine learning segmentation and 3D change detection for a scalable coastal cliff monitoring workflow. |
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| Authors: | Mack, Connor J.1, cjmack@ucsd.edu, Maclay, Matthew1, Krier-Mariani, Raphael1, Young, Adam P.1 |
| Source: | Computers & Geosciences; Jun2026, Vol. 212, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193057972 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193057972 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cageo.2026.106165 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Integrated machine learning segmentation and 3D change detection for a scalable coastal cliff monitoring workflow. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mack, Connor J. – PersonEntity: Name: NameFull: Maclay, Matthew – PersonEntity: Name: NameFull: Krier-Mariani, Raphael – PersonEntity: Name: NameFull: Young, Adam P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00983004 Numbering: – Type: volume Value: 212 Titles: – TitleFull: Computers & Geosciences Type: main |
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