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Plenary #7: Machine learning
Time:
Thursday, 28/Nov/2024:
10:30am - 11:40am
Session Chair: Olaf Kolditz , Helmholtz-Zentrum für Umweltforschung GmbH UFZ, GermanySession Chair: Stéphan Schumacher , Andra, France
Location: Eilenriedehalle B
Presentations
10:30am - 11:00am ID: 399
/ Plenary #7: 001
Developpement and improvement of numerical methods and tools for modelling coupled process: Lessons learnt during EURAD joint programing initiative
Francis CLARET 1 , Guillaume PEPIN2 , Clément CANCES3 , Olaf KOLDITZ4 , Nikolaos PRASIANAKIS5 , Attila BAKSAY6 , Dmitry LUKIN7
1 BRGM, France; 2 Andra, France; 3 Inria, France; 4 UFZ, Germany; 5 PSI, Switzerland; 6 Ts Enercon, Hungary; 7 SURAO, Czech republic
11:00am - 11:20am ID: 224
/ Plenary #7: 002
Physics-Based and Data-Driven Digital Twins for 3D-Temperature Evolution in the Near-field of the FE Tunnel at Mont Terri
WILFRIED PFINGSTEN , Guang Hu
PSI, Switzerland
11:20am - 11:40am ID: 362
/ Plenary #7: 003
Advancing Pore Segmentation in Opalinus Clay: A Machine Learning Ensemble with Probability Estimation
Marco Brysch 1 , Ben Laurich1 , Monika Sester2
1 Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover; 2 Institute of Cartography and Geoinformatics, Gottfried Wilhelm Leibniz University, Hannover
