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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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Predicting physico-chemical parameters of Barekese reservoir using feedforward neural network

2025Scientific AfricanJournalOpen access

10.1016/j.sciaf.2025.e02779 Full text1 citations

Authors

6 authors across 2 institutions in 2 countries.

Kwame SarkodieFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Emmanuel Agyei
- Kwame Nkrumah University of Science and Technology (GH)
Samuel Narveh
- Kwame Nkrumah University of Science and Technology (GH)
F. O. K. Anyemedu
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Fred Oppong Kyekyeku Anyemedu
Caspar Daniel Adenutsi
- Kwame Nkrumah University of Science and Technology (GH)
William Apau MarfoSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Fault Detection and Control Systemslevel 3 · 0.98
Mineral Processing and Grindinglevel 3 · 0.97
Hydrocarbon exploration and reservoir analysislevel 3 · 0.95

Sources

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

openalexseen September 5, 2026
2025 · Scientific African · 1 citations
https://openalex.org/W4410794768

Predicting physico-chemical parameters of Barekese reservoir using feedforward neural network · Sankore