A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties von Kazemi, Mohammad Mirzehi Kalate, Nabavi, Zohre, Armaghani, Danial Jahed

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Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery von Mirzehi Kalateh Kazemi, Mohammad, Nabavi, Zohreh, Rezakhah, Mojtaba, Masoudi, Ali

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Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine von Kazemi, Mohammad Mirzehi Kalateh, Nabavi, Zohreh, Khandelwal, Manoj

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Sustainable long-term production planning of open pit mines: An integrated framework for concurrent economical and environmental optimization von Mirzehi, Mohammad, Moradi Afrapoli, Ali

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Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis von Nabavi, Zohre, Mirzehi, Mohammad, Dehghani, Hesam

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A novel framework for integrating environmental costs and carbon pricing in open-pit mine plans: Towards sustainable and green mining von Mirzehi, Mohammad, Moradi Afrapoli, Ali

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Incorporating grade uncertainty into open-pit long-term production planning using loss and profit functions von Zohreh Nabavi, Amin Mousavi, Mohammad Mirzehi Kalate Kazemi, Masoud Monjezi

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