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Muhammad Kamran
Muhammad Kamran
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Predictive modeling of short-term rockburst for the stability of subsurface structures using machine learning approaches: T-SNE, K-Means clustering and XGBoost
B Ullah, M Kamran, Y Rui
Mathematics 10 (3), 449, 2022
452022
Application of gradient boosting machine learning algorithms to predict uniaxial compressive strength of soft sedimentary rocks at Thar Coalfield
NM Shahani, M Kamran, X Zheng, C Liu, X Guo
Advances in Civil Engineering 2021, 1-19, 2021
422021
Predictive modeling of drilling rate index using machine learning approaches: LSTM, simple RNN, and RFA
NM Shahani, M Kamran, X Zheng, C Liu
Petroleum Science and Technology 40 (5), 534-555, 2022
372022
A probabilistic approach for prediction of drilling rate index using ensemble learning technique
M Kamran
Journal of Mining and Environment 12 (2), 327-337, 2021
192021
A state of the art catboost-based T-distributed stochastic neighbor embedding technique to predict back-break at dewan cement limestone quarry
M Kamran
Journal of Mining and Environment 12 (3), 679-691, 2021
172021
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
M Kamran, RK Wattimena, DJ Armaghani, PG Asteris, IM Jiskani, ...
Process Safety and Environmental Protection 171, 374-384, 2023
162023
Decision support system for the prediction of mine fire levels in underground coal mining using machine learning approaches
M Kamran, NM Shahani
Mining, Metallurgy & Exploration 39 (2), 591-601, 2022
162022
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
M Kamran, B Ullah, M Ahmad, MMS Sabri
Frontiers in Public Health 10, 1023890, 2022
152022
Decision support system for underground coal pillar stability using unsupervised and supervised machine learning approaches
K Muhammad, S Niaz Muhammad, A Danial Jahed
Geomechanics and Engineering 30 (2), 107-121, 2022
152022
Decision based uncertainty model to predict rockburst in underground engineering structures using gradient boosting algorithms
R Kidega, MN Ondiaka, D Maina, KAT Jonah, M Kamran
Geomechanics and Engineering 30 (3), 259, 2022
102022
A multi-criteria decision intelligence framework to predict fire danger ratings in underground engineering structures
M Kamran, W Chaudhry, RK Wattimena, H Rehman, DA Martyushev
Fire 6 (11), 412, 2023
42023
The Finite Difference Analysis of Empirical Tunnel Support Design in High Stress fractured rock mass Environment at the Bunji Hydropower Project, Pakistan
H Rehman, W Ali, KS Shah, MHB Mohd Hashim, NM Khan, M Ali, ...
Journal of Mining and Environment 13 (3), 781-795, 2022
22022
Decision intelligence-driven predictive modelling of air quality index in surface mining
M Kamran, IM Jiskani, Z Wang, W Zhou
Engineering Applications of Artificial Intelligence 133, 108399, 2024
2024
Decision intelligence-based predictive modelling of hard rock pillar stability using K-nearest neighbour coupled with grey wolf optimization algorithm
M Kamran, W Chaudhry, BO Taiwo, S Hosseini, H Rehman
Processes 12 (4), 783, 2024
2024
A Stochastic Model Updating Gold Reserve Estimation by Using Monte Carlo Simulation
M Kamran, S Bacha, N Mohammad
Journal of Mining and Environment, 2021
2021
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Artículos 1–15