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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.

Modeling the Turbidity Level of Asejire Reservoir Using Machine Learning Techniques

2024Publication

10.1109/seb4sdg60871.2024.10630275 Full text0 citations

Authors

6 authors across 3 institutions in 1 country.

Taiwo M. AdegokeFirst author
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Taiwo Mobolaji Adegoke
O.M. Oladoja
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Oladapo Muyiwa Oladoja
Aliyu Abba Mustapha
- University of Maiduguri (NG)
Sule Omeiza Bashiru
- Confluence University of Science and Technology, Osara (NG)
Dimeji Ebenezer Aderupatan
- University of Maiduguri (NG)
O E AbiodunSenior author
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Oluwakemi Elizabeth Abiodun

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4401607692

Modeling the Turbidity Level of Asejire Reservoir Using Machine Learning Techniques · Sankore