Cascade learning system to improve the interpretation of geological conditions ahead of the tunnel face

Paul Johannes Unterlaß; Alla Sapronova; Jozsef Hecht-Méndez; Thomas Dickmann; Thomas Marcher

Cascade learning system to improve the interpretation of geological conditions ahead of the tunnel face

Paul Johannes Unterlaß, Alla Sapronova, Jozsef Hecht-Méndez, Thomas Dickmann, Thomas Marcher

Institut für Felsmechanik und Tunnelbau (2200)

Publikation: Konferenzbeitrag › Poster › Begutachtung

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - 5 Apr. 2022
Veranstaltung	2nd EAGE Digitalization, Conference and Exhibition: EAGE Digital 2022 - Messe Wien Exhibition and Congress Center, Wien, Österreich Dauer: 23 März 2022 → 25 März 2022 https://eagedigital.org/

Konferenz

Konferenz	2nd EAGE Digitalization, Conference and Exhibition
Land/Gebiet	Österreich
Ort	Wien
Zeitraum	23/03/22 → 25/03/22
Internetadresse	https://eagedigital.org/

ASJC Scopus subject areas

Geotechnik und Ingenieurgeologie
Tief- und Ingenieurbau

Andere Dateien und Links

https://www.tugraz.at/fileadmin/user_upload/Institute/FMT/Rock_Reports/RockReport_01_2022.pdf

EAGE Digital - 2022
Unterlaß, P. J. (Redner/in)
25 März 2022
Aktivität: Vortrag oder Präsentation › Posterpräsentation › Science to science

Dieses zitieren

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title = "Cascade learning system to improve the interpretation of geological conditions ahead of the tunnel face",

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year = "2022",

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language = "English",

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TY - CONF

T1 - Cascade learning system to improve the interpretation of geological conditions ahead of the tunnel face

AU - Unterlaß, Paul Johannes

AU - Sapronova, Alla

AU - Hecht-Méndez, Jozsef

AU - Dickmann, Thomas

AU - Marcher, Thomas

PY - 2022/4/5

Y1 - 2022/4/5

KW - Tunnel Seismic Prediction

KW - Geological Forecast

KW - Machine Learning

KW - Geophysics

UR - https://www.tugraz.at/fileadmin/user_upload/Institute/FMT/Rock_Reports/RockReport_01_2022.pdf

M3 - Poster

T2 - 2nd EAGE Digitalization, Conference and Exhibition

Y2 - 23 March 2022 through 25 March 2022

ER -

Cascade learning system to improve the interpretation of geological conditions ahead of the tunnel face

Konferenz

ASJC Scopus subject areas

Andere Dateien und Links

Aktivitäten

EAGE Digital - 2022

Dieses zitieren