Cancan Liu

Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield

Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng et al. · Advances in Civil Engineering · 2021 · 88 citations · Full text

Rock Testing, Engineering, Machine Learning +20

Developing an XGBoost Regression Model for Predicting Young’s Modulus of Intact Sedimentary Rocks for the Stability of Surface and Subsurface Structures

Niaz Muhammad Shahani, Xigui Zheng, Cancan Liu et al. · Frontiers in Earth Science · 2021 · 75 citations · Full text

Rock Testing, Engineering, Xgboost Regression Model +23

Predictive modeling of drilling rate index using machine learning approaches: LSTM, simple RNN, and RFA

Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng et al. · Petroleum Science and Technology · 2022 · 59 citations

Rock Testing, Engineering, Machine Learning +27

Recognition of interface and category of roadway roof strata based on drilling parameters

Cancan Liu, Qinjian Zhan, Yang Lu et al. · Journal of Petroleum Science and Engineering · 2021 · 31 citations

Engineering, Roadway Roof Strata, Civil Engineering +2

Measurement and analysis of penetration rate and vibration on a roof bolter for identification rock interface of roadway roof

Cancan Liu, Xigui Zheng, Arifuggaman Arif et al. · Energy Sources Part A Recovery Utilization and Environmental Effects · 2019 · 26 citations

Rock Testing, Engineering, Mechanical Engineering +19