Author

Mohammad Maleki

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Open access Oct 2026

Stacking Ensemble Learning for Copper Grade Prediction at the Sungun Porphyry Copper Deposit: Statistical Performance Versus Geological Coherence

Mineral resource estimation has traditionally relied on geostatistical techniques such as Ordinary Kriging (OK), which explicitly account for spatial continuity but may introduce smoothing effects and require extensive manual parameterization. In parallel, Machine Learning (ML) methods have emerged as flexible alternat...

Constanza Núñez, Nadia Mery, Mohammad Maleki · Minerals · 0 citations

Open access Sep 2026

Simulation of Categorical and Continuous Variables of a South-American Copper Deposit

Abstract Planning a mining operation requires modeling the metal grades contained in the ore of the deposit based on sampling data, which are inevitably limited relative to the volume of the deposit. Unlike estimation, geostatistical simulation allows not only for the construction of a discrete three- dimensional model...

Marco Lombardi, Mohammad Maleki, S. Kasmaeeyazdi et al. · Mining Revue · 0 citations

Open access Sep 2026

Capturing the Value of Lithological Domain Uncertainty in Geometallurgical Mine–Plant Planning

Integrated mine–plant optimization should account for multiple geological uncertainties, yet practice typically considers only grade. Lithological domain uncertainty is a distinct source of geometallurgical variability because rock type governs comminution, recovery, cost, and blending. This paper extends a two-stage s...

Bryan Diaz, A. Quelopana, Mohammad Maleki · Minerals · 0 citations