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Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques.

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Title: Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques.
Authors: Jenkins, David Gwillym1, david.jenkins@ntu.ac.uk, Heller, Valentin2, Giannakidis, Archontis1,3
Source: Ocean Engineering; Mar2025, Vol. 320, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182954892
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques.
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  Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>; Mar2025, Vol. 320, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182954892
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.oceaneng.2024.120197
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques.
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            NameFull: Jenkins, David Gwillym
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            NameFull: Heller, Valentin
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            NameFull: Giannakidis, Archontis
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              Text: Mar2025
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              Y: 2025
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              Value: 320
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