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A virtual calibration chamber for cone penetration test based on deep-learning approaches
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In
Journal of rock mechanics and geotechnical engineering : JRMGE 16(12), Seiten/Artikel-Nr.:5179-5192
2024
Online
DOI: 10.1016/j.jrmge.2024.10.004
DOI: 10.18154/RWTH-2025-03623
URL: https://publications.rwth-aachen.de/record/1009694/files/1009694.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 690
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85208503269
WOS Core Collection: WOS:001381289100001
Interne Identnummern
RWTH-2025-03623
Datensatz-ID: 1009694
Beteiligte Länder
Germany, Peoples R China
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