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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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Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana

2024HeliyonJournalOpen access

10.1016/j.heliyon.2024.e28527 Full text25 citations

Authors

7 authors across 8 institutions in 3 countries.

Joseph Nzotiyine ApogbaFirst author
- Kwame Nkrumah University of Science and Technology (GH)
Geophrey K. Anornu
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Geophrey Kwame Anornu
Arthur B. Koon
- University of Liberia (LR)
- Kwame Nkrumah University of Science and Technology (GH)
B.W. Dekongmen
- University of Energy and Natural Resources (GH)
- Ho Technical University (GH)
as printed: Benjamin Wullobayi Dekongmen
Emmanuel Daanoba Sunkari
- University of Johannesburg (ZA)
- University of Mines and Technology (GH)
Obed Fiifi Fynn
- Council for Scientific and Industrial Research (GH)
Prosper KpiebayaSenior authorCorresponding
- University for Development Studies (GH)

Fields

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

Groundwater and Watershed Analysislevel 3 · 1.00
Hydrological Forecasting Using AIlevel 3 · 1.00
Flood Risk Assessment and Managementlevel 3 · 1.00

Sources

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

openalexseen September 8, 2026
2024 · Heliyon · 25 citations
https://openalex.org/W4393344310

Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana · Sankore