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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Predicting gold cyanide leaching recovery in carbon-in-leach circuit for a gold mine in Ghana: A focus on predictive performance of machine learning techniques

2026Journal of African Earth SciencesJournal

10.1016/j.jafrearsci.2026.106143 Full text0 citations

Authors

5 authors.

Pearl Asieduwaa OseiFirst authorCorresponding
- University of Mines and Technology (GH)
Lewis Brew
- University of Mines and Technology (GH)
Richard Kwasi Amankwah
- University of Mines and Technology (GH)
Yao Yevenyo Ziggah
- University of Mines and Technology (GH)
Clement OwusuSenior author
- University of Mines and Technology (GH)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Metal Extraction and Bioleachinglevel 3 · 0.80
Mineral Processing and Grindinglevel 3 · 0.08
Iron and Steelmaking Processeslevel 3 · 0.04

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2026 · Journal of African Earth Sciences · 0 citations
https://openalex.org/W7140228343

Predicting gold cyanide leaching recovery in carbon-in-leach circuit for a gold mine in Ghana: A focus on predictive performance of machine learning techniques · Sankore