GeoPDNN: A Semisupervised Deep Learning Neural Network Using Pseudolabels for Three-dimensional Urban Geological Modelling and Uncertainty Analysis from Borehole Data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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GeoPDNN: A Semisupervised Deep Learning Neural Network Using Pseudolabels for Three-dimensional Urban Geological Modelling and Uncertainty Analysis from Borehole Data ; day:20 ; month:04 ; year:2023 ; pages:1-21 ; extent:21
Geoscientific model development discussions ; (20.04.2023), 1-21 (gesamt 21)
- Urheber
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Guo, Jiateng
Xu, Xuechuang
Wang, Xulei
Wu, Lixin
Jessell, Mark
Ogarko, Vitaliy
Liu, Zhibin
Zheng, Yufei
- DOI
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10.5194/gmd-2023-11
- URN
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urn:nbn:de:101:1-2023042708234386044807
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Guo, Jiateng
- Xu, Xuechuang
- Wang, Xulei
- Wu, Lixin
- Jessell, Mark
- Ogarko, Vitaliy
- Liu, Zhibin
- Zheng, Yufei
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