2 papers
cs.CV2026
Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling
Jessica Ka Yi Chiu, Tom Frode Hansen, Eivind Magnus Paulsen +1
This paper presents a geology-driven machine learning method for automated rock joint trace mapping from images. The approach combines geological modelling, synthetic data generati…
cs.LG2024
Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling data
T. F. Hansen, A. Aarset
Rock mass classification systems are crucial for assessing stability and risk in underground construction globally and guiding support and excavation design. However, these systems…