Niaz Muhammad Shahani

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 · 94 citations · Full text

Engineering, Geological Engineering, Mining Engineering +14

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 · 85 citations · Full text

Engineering, Civil Engineering, Mining Engineering +14

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 · 65 citations

Engineering, Earth Sciences, Geological Engineering +14

An Integrated Entropy Weight and Grey Clustering Method–Based Evaluation to Improve Safety in Mines

Izhar Mithal Jiskani, Shuai Han, Atta Ur Rehman et al. · Mining Metallurgy & Exploration · 2021 · 61 citations

Engineering, Mining Engineering, Mine Design +12

Machine Learning-Based Intelligent Prediction of Elastic Modulus of Rocks at Thar Coalfield

Niaz Muhammad Shahani, Xigui Zheng, Xiaowei Guo et al. · Sustainability · 2022 · 47 citations · Full text

Computing, Mining Engineering, Petroleum Engineering +17