A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features ; volume:13 ; number:1 ; day:25 ; month:4 ; year:2023 ; pages:1-15 ; date:12.2023
Scientific reports ; 13, Heft 1 (25.4.2023), 1-15, 12.2023
- Urheber
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Farahmand, Hamed
Xu, Yuanchang
Mostafavi, Ali
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-32548-x
- URN
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urn:nbn:de:101:1-2023090410023536128428
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
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Beteiligte
- Farahmand, Hamed
- Xu, Yuanchang
- Mostafavi, Ali
- SpringerLink (Online service)
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