| Reinforcement learning based process optimization and strategy development in conventional tunneling GH Erharter, TF Hansen, Z Liu, T Marcher Automation in Construction 127, 103701, 2021 | 36 | 2021 |
| Analysis of water ingress, grouting effort, and pore pressure reduction caused by hard rock tunnels in the Oslo region J Langford, KH Holmøy, TF Hansen, KG Holter, E Stein Tunnelling and Underground Space Technology 130, 104762, 2022 | 7 | 2022 |
| A 2023 perspective on rock mass classification systems GH Erharter, TF Hansen, S Qi, N Bar, T Marcher ISRM Congress, ISRM-15CONGRESS-2023-127, 2023 | 6 | 2023 |
| Improving face decisions in tunnelling by machine learning‐based MWD analysis TF Hansen, GH Erharter, T Marcher, Z Liu, J Tørresen Geomechanics and Tunnelling 15 (2), 222-231, 2022 | 6 | 2022 |
| Towards optimized TBM cutter changing policies with reinforcement learning GH Erharter, TF Hansen Geomechanics and Tunnelling 15 (5), 665-670, 2022 | 5 | 2022 |
| Building and analysing a labelled measure while drilling dataset from 15 hard rock tunnels in Norway TF Hansen, Z Liu, J Torresen Available at SSRN 4729646, 2024 | 4 | 2024 |
| Norwegian tunnel excavation: Increasing digitalisation in all operations J Ka Yi Chiu, TF Hansen, T Wetlesen Geomechanics and Tunnelling 15 (2), 182-189, 2022 | 4 | 2022 |
| Unsupervised machine learning for data-driven classification of rock mass using drilling data: How can a data-driven system handle limitations in existing rock mass … TF Hansen, A Aarset arXiv preprint arXiv:2405.02631, 2024 | 3 | 2024 |
| Predicting rock type from mwd tunnel data using a reproducible ml-modelling process TF Hansen, Z Liu, J Torresen Tunnelling and Underground Space Technology 152, 105843, 2024 | 2 | 2024 |
| UTFORDRINGER MED VANN I UNDERGRUNNSPROSJEKT I URBANE OMRÅDER KH Holmøy, J Langford, TF Hansen, KG Holter, K Karlsrud, NGI NGI | 2 | 2019 |
| Towards reinforcement learning-driven TBM cutter changing policies TF Hansen, GH Erharter, T Marcher Automation in Construction 165, 105505, 2024 | 1 | 2024 |
| A comparative study on machine learning approaches for rock mass classification using drilling data TF Hansen, GH Erharter, Z Liu, J Torresen arXiv preprint arXiv:2403.10404, 2024 | 1 | 2024 |
| International Distribution and Development of Rock Mass Classification: A Review GH Erharter, N Bar, TF Hansen, S Jain, T Marcher Rock Mechanics and Rock Engineering, 1-12, 2024 | | 2024 |
| Can We Trust the Machine Learning Based Geotechnical Model? TF Hansen International Conference on Inforatmion Technology in Geo-Engineering, 332-340, 2024 | | 2024 |
| Toward machine learning based decision support for pre‐grouting in hard rock I Rongved, TF Hansen, GH Erharter Civil Engineering Design, 2024 | | 2024 |
| incorporating Trenchless Technology Research TF Hansen, Z Liu, J Torresen Tunnelling and Underground Space Technology 152, 105843, 2024 | | 2024 |
| The importance of stresses in Arctic coal mining TF Hansen ISRM Congress, ISRM-11CONGRESS-2007-233, 2007 | | 2007 |
| Introducing Reinforcement Learning to Tunneling GH Erharter, TF Hansen, Z Liu, T Marcher | | |
Georg H. ErharterNorwegian Geotechnical Institute在 ngi.no 的电子邮件经过验证
Georg H. ErharterNorwegian Geotechnical Institute在 ngi.no 的电子邮件经过验证
Zhongqiang LiuPrincipal Scientist, Norwegian Geotechnical Institute在 ngi.no 的电子邮件经过验证
Jim TorresenProfessor University of Oslo在 ifi.uio.no 的电子邮件经过验证