Prediction of Geological Conditions Ahead of the Tunnel Face: Comparing the Accuracy of Machine Learning Models Trained on Real and Synthetic Data

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

^*Corresponding author for this work

Institute of Rock Mechanics and Tunnelling (2200)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

1 Conference or symposium (Participation in/Organisation of)
1 Talk at conference or symposium

2 results
- Title
- Start date(ascending)

International Society for Intelligent Construction 2022 Conference: Trends on Construction n the Post-Digital Era
Paul Johannes Unterlaß (Participant) & Alla Sapronova (Participant)
6 Sept 2022 → 9 Sept 2022
Activity: Participation in or organisation of › Conference or symposium (Participation in/Organisation of)
Prediction of Geological Conditions Ahead of the Tunnel Face: Comparing the Accuracy of Machine Learning Models Trained on Real and Synthetic Data
Alla Sapronova (Speaker)
8 Sept 2022
Activity: Talk or presentation › Talk at conference or symposium › Science to science