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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.

Enhancing ANPR accuracy for staff car verification using convolutional neural networks and RegEX correction

2024IAES International Journal of Artificial IntelligenceJournalOpen access

10.11591/ijai.v13.i2.pp2073-2080 Full text0 citations

Authors

6 authors across 3 institutions in 2 countries.

Ayomikun A. AwoseyiFirst author
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Ayomikun Abayomi AWOSEYI
Timileyin Favour TIMOTHY
- Abiola Ajimobi Technical University Ibadan (NG)
Ernest Onuiri
- Babcock University (NG)
as printed: Ernest E. ONUIRI
Qudus Opeyemi ABDULAHI
- Abiola Ajimobi Technical University Ibadan (NG)
Sunday Adeola Ajagbe
- Abiola Ajimobi Technical University Ibadan (NG)
Matthew O. AdigunSenior author
- University of Zululand (ZA)
as printed: Matthew Adigun

Fields

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

Real-time simulation and control systemslevel 3 · 0.63

Sources

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

openalexseen September 9, 2026
2024 · IAES International Journal of Artificial Intelligence · 0 citations
https://openalex.org/W4393974515

Enhancing ANPR accuracy for staff car verification using convolutional neural networks and RegEX correction · Sankore