GeoPDNN: A Semisupervised Deep Learning Neural Network Using Pseudolabels for Three-dimensional Urban Geological Modelling and Uncertainty Analysis from Borehole Data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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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)
- Creator
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
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Associated
- Guo, Jiateng
- Xu, Xuechuang
- Wang, Xulei
- Wu, Lixin
- Jessell, Mark
- Ogarko, Vitaliy
- Liu, Zhibin
- Zheng, Yufei
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GeoINR 1.0 : an implicit neural network approach to three-dimensional geological modelling
Numerical simulation of borehole thermal energy storage in the geological subsurface
Query optimization-oriented lateral expansion method of distributed geological borehole database
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Modeling Electrical Field Distribution in Layered Geological Rock Formations with a Borehole Using the Coulomb Charges Method
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GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data
GeoINR 1.0: an implicit neural representation network for three-dimensional geological modelling
GeoINR 1.0 : an implicit neural network approach to three-dimensional geological modelling
Numerical simulation of borehole thermal energy storage in the geological subsurface
Query optimization-oriented lateral expansion method of distributed geological borehole database
A new methodology using borehole data to measure angular distances between geological interfaces
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks
Automated Monte Carlo-based Quantification and Updating of Geological Uncertainty with Borehole Data (AutoBEL v1.0)
IMPLICIT THREE-DIMENSIONAL GEO-MODELLING BASED ON HRBF SURFACE
Modeling Electrical Field Distribution in Layered Geological Rock Formations with a Borehole Using the Coulomb Charges Method
Three-dimensional geological modelling of igneous intrusions in LoopStructural v1.5.10
GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data
GeoINR 1.0: an implicit neural representation network for three-dimensional geological modelling
GeoINR 1.0 : an implicit neural network approach to three-dimensional geological modelling
Numerical simulation of borehole thermal energy storage in the geological subsurface
Query optimization-oriented lateral expansion method of distributed geological borehole database
A new methodology using borehole data to measure angular distances between geological interfaces
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks
Automated Monte Carlo-based Quantification and Updating of Geological Uncertainty with Borehole Data (AutoBEL v1.0)
IMPLICIT THREE-DIMENSIONAL GEO-MODELLING BASED ON HRBF SURFACE
Modeling Electrical Field Distribution in Layered Geological Rock Formations with a Borehole Using the Coulomb Charges Method