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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.

Exploring the application of artificial intelligence and machine learning tools in the removal of emerging pollutants from industrial effluents by biochar-based catalysts: current applications and future prospects

2026Elsevier eBooksBook Chapter

10.1016/b978-0-443-40447-4.00013-x Full text0 citations

Authors

5 authors across 5 institutions in 1 country.

Orhadahwe Thomas AghoghoFirst author
- University of Ibadan (NG)
as printed: Thomas Aghogho Orhadahwe
Adekunle A. Adeleke
- Nile University of Nigeria (NG)
as printed: Adekunle Akanni Adeleke
Ifeoluwa Deborah Boyede
- Obafemi Awolowo University (NG)
Grace Oluwatoyin Oladunni
- Abiola Ajimobi Technical University Ibadan (NG)
- University of Ibadan (NG)
Atilade A. OladunniSenior author
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Atilade Amos Oladunni

Fields

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

Adsorption and biosorption for pollutant removallevel 3 · 0.32
Advanced oxidation water treatmentlevel 3 · 0.22
Membrane Separation Technologieslevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · Elsevier eBooks · 0 citations
https://openalex.org/W7125522785

Exploring the application of artificial intelligence and machine learning tools in the removal of emerging pollutants from industrial effluents by biochar-based catalysts: current applications and future prospects · Sankore