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A Machine Learning Paradigm for Subsurface Stratigraphy from Sparse Data (BRIGHT SPARK LECTURE)

Shi, C.

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A Machine Learning Paradigm for Subsurface Stratigraphy from Sparse Data (BRIGHT SPARK LECTURE)

Shi, C.

A Machine Learning Paradigm for Subsurface Stratigraphy from Sparse Data (BRIGHT SPARK LECTURE)

Shi, C.

Zugriff

Download

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

A Machine Learning Paradigm for Subsurface Stratigraphy from Sparse Data (BRIGHT SPARK LECTURE)

Beteiligte:

Shi, C. (Autor:in)

Kongress:

International Conference on Geotechnical and Geophysical Site Characterization ; 7. ; 2024 ; Barcelona

Erschienen in:

Proceedings of the 7th International Conference on Geotechnical and Geophysical Site Characterization, Barcelona, 18-21 June 2024

Erscheinungsdatum:

2024

Medientyp:

Aufsatz (Konferenz)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Angewandte Geophysik , Baugrunduntersuchung , Geotechnik

Klassifikation:

BKL: 38.70 Geophysik: Allgemeines / 56.20 Ingenieurgeologie, Bodenmechanik / 38.03 Methoden und Techniken der Geowissenschaften

Lizenzbestimmungen:

https://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US

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Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

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