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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.

Aerodynamic lift coefficient prediction of supercritical airfoils at transonic flow regime using convolutional neural networks (CNNs) and multi-layer perceptions (MLPs)

2023Al-Qadisiyah Journal for Engineering SciencesJournalOpen access

10.30772/qjes.v16i2.955 Full text1 citations

Authors

4 authors across 2 institutions in 1 country.

Adebowale Martins ObalaluFirst author
- University of Ilorin (NG)
- Kwara State University (NG)
as printed: Olalekan Adebayo Olayemia
Oluwadolapo Isaac Salakoa
- University of Ilorin (NG)
- Kwara State University (NG)
Abdulbaqi Jinadu
- University of Ilorin (NG)
- Kwara State University (NG)
Benjamin Elochukwu AnyaegbunaSenior author
- University of Ilorin (NG)

Fields

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

Model Reduction and Neural Networkslevel 3 · 1.00
Fluid Dynamics and Turbulent Flowslevel 3 · 1.00
Turbomachinery Performance and Optimizationlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2023 · Al-Qadisiyah Journal for Engineering Sciences · 1 citations
https://openalex.org/W4382359247

Aerodynamic lift coefficient prediction of supercritical airfoils at transonic flow regime using convolutional neural networks (CNNs) and multi-layer perceptions (MLPs) · Sankore