Employing machine learning in water infrastructure management: predicting pipeline failures for improved maintenance and sustainable operations
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Employing machine learning in water infrastructure management: predicting pipeline failures for improved maintenance and sustainable operations ; volume:2 ; number:1 ; day:14 ; month:11 ; year:2024 ; pages:1-13 ; date:12.2024
Industrial artificial intelligence ; 2, Heft 1 (14.11.2024), 1-13, 12.2024
- Klassifikation
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Natürliche Ressourcen, Energie und Umwelt
- Urheber
-
Asadi, Yasin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44244-024-00022-w
- URN
-
urn:nbn:de:101:1-2502040946592.595009286380
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Asadi, Yasin
- SpringerLink (Online service)
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