Muhammad Kamran

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

Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: t-SNE, K-Means Clustering and XGBoost

Barkat Ullah, Muhammad Kamran, Yichao Rui · Mathematics · 2022 · 81 citations · Full text

Rock Slide, Engineering, Machine Learning +26

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

Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments

Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani et al. · Process Safety and Environmental Protection · 2023 · 49 citations

Fire Engineering, Engineering, Fire Safety +10

Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects

Muhammad Kamran, Barkat Ullah, Mahmood Ahmad et al. · Frontiers in Public Health · 2022 · 48 citations · Full text

Underground Infrastructure, Engineering, Knn-based Isometric Mapping +22