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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.

Prediction of Gold associated Mineral worth: An application of mathematically driven artificial neural network technique

2023International Journal of Engineering and Advanced Technology StudiesJournalOpen access

10.37745/ijeats.13/vol11n11936 Full text1 citations

Authors

4 authors across 2 institutions in 1 country.

M. A. GbolagadeFirst author
- Nigerian Geological Survey Agency (NG)
- Federal University of Technology (NG)
M. M. Melodi
- Federal University of Technology (NG)
John Olurotimi Amigun
- Federal University of Technology (NG)
as printed: J. O. Amigun
Olanrewaju C. AlabaSenior author
- Federal University of Technology (NG)
as printed: O. C. Alaba

Fields

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

Mining Techniques and Economicslevel 3 · 0.98
Mineral Processing and Grindinglevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2023 · International Journal of Engineering and Advanced Technology Studies · 1 citations
https://openalex.org/W4389510672

Prediction of Gold associated Mineral worth: An application of mathematically driven artificial neural network technique · Sankore