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Predicting open-pit mine production using machine learning techniques · Peerford

Article · Journal · 2024

Predicting open-pit mine production using machine learning techniques

Faustin Nartey Kumah, Alex Kwasi Saim, Millicent Nkrumah Oppong, Clement Kweku Arthur

Journal of Sustainable Mining

Open access · Diamond
International · 2 countries

Read it 10.46873/2300-3960.1411

Citations: 6from other works
Field-weighted impact: 0.791.00 is the world average for its field and year
Among its field: 62nd percentileby citations, against works of its field and year
Authors: 4from 3 institutions

Authors

4 authors across 3 institutions in 2 countries

Faustin Nartey KumahFirst author
Alex Kwasi Saim
- University of Mines and Technology (GH)
Millicent Nkrumah Oppong
Clement Kweku ArthurSenior author
- University of Mines and Technology (GH)

Countries on it

Ghana
United States

Also on it

Montana Technological Universityeducation · US

New Mexico Institute of Mining and Technology

education · US

Fields

A work can sit in several, each with a score

Mineral Processing and GrindingTopic
Mining Techniques and EconomicsTopic
Mining and Gasification TechnologiesTopic