Mining Technology Vol. 134, No. 4, is here

Advancing computational intelligence and uncertainty modelling in mining: from transition strategies and dispatch optimisation to reinforcement learning and predictive energy analysis.

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Optimizing the transition from open-pit to underground mining by simultaneously considering price and cost uncertainties
Ali Salehi, Sajjad Afraei, Kourosh Shahriar
pp. 247–262
DOI: 10.1177/25726668251360472

Bridging gaps in intelligent truck dispatching: An underexplored PPO-based model with expanded feature integration within open pit mines
Eyman Hazrathoseyni, Arman Hazrathosseini
pp. 263–273
DOI: 10.1177/25726668251376927

Automating and optimising pushback selection using reinforcement learning
Parisa Akbari, Santiago Valencia, Nelson Morales
pp. 274–288
DOI: 10.1177/25726668251371946

Open Access: Predicting energy consumption SAG mills through Bayesian generalized linear model and random forest
Zhanbolat Magzumov, Mustafa Kumral
pp. 289–311
DOI: 10.1177/25726668251391540