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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.

Prediction of Pyrolysis Oil Yield from Plastic Waste using Artificial Neural Network (ANN)

2026African Journal of Environmental Sciences and Renewable EnergyJournalOpen access

10.62154/ajesre.2026.022.01012 Full text0 citations

Authors

3 authors.

Ejiroghene Kelly OrhorhoroFirst author
- Igbinedion University (NG)
Andrew Amagbor Erameh
- Igbinedion University (NG)
Earl Ufuoma EmifoniyeSenior author
- Igbinedion University (NG)
as printed: Early Ufuoma Emifoniye

Fields

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

Thermochemical Biomass Conversion Processeslevel 3 · 0.81
Municipal Solid Waste Managementlevel 3 · 0.04
Agricultural and Environmental Managementlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · African Journal of Environmental Sciences and Renewable Energy · 0 citations
https://openalex.org/W7151044670

Prediction of Pyrolysis Oil Yield from Plastic Waste using Artificial Neural Network (ANN) · Sankore