A comparative study on machine learning approaches for rock mass classification using drilling data

no code implementations • 15 Mar 2024 • Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu, Jim Torresen

This study aims to automate the translation of MWD data into actionable metrics for rock engineering.

Binary Classification Classification

Reinforcement learning based process optimization and strategy development in conventional tunneling

1 code implementation • Automation in Construction 2021 • Georg H. Erharter, Tom F. Hansen, Zhongqiang Liu, Thomas Marcher

Reinforcement learning (RL) - a branch of machine learning - refers to the process of an agent learning to achieve a certain goal by interaction with its environment.

reinforcement-learning Reinforcement Learning (RL)

Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks

no code implementations • 10 Jul 2020 • Zhongqiang Liu

Pathological variability often renders difficulty to register a well-labeled normal atlas to such images and to automatic segment/label surrounding normal brain tissues.