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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.

Machine learning–based modelling of effluent quality of Wupa municipal wastewater treatment plant, Abuja, Nigeria

2026Cleaner WaterJournalOpen access

10.1016/j.clwat.2026.100238 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

S. BalogunFirst authorCorresponding
- University of Abuja (NG)
as printed: Samson Balogun
T. C. Ogwueleka
- University of Abuja (NG)
as printed: Toochukwu Chibueze Ogwueleka
Ishiaka Shaibu Arudi
- University of Abuja (NG)
Atoki Lucas OluSenior author
- Bowen University (NG)

Fields

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

Water Quality and Pollution Assessmentlevel 3 · 0.31
Wastewater Treatment and Reuselevel 3 · 0.11
Hydrological Forecasting Using AIlevel 3 · 0.06

Sources

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

openalexseen September 9, 2026
2026 · Cleaner Water · 0 citations
https://openalex.org/W7134163715

Machine learning–based modelling of effluent quality of Wupa municipal wastewater treatment plant, Abuja, Nigeria · Sankore