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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 ROAD CRASH PREDICTION: A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS AND SAFETY PERFORMANCE FUNCTIONS ON THE LAGOS-IBADAN EXPRESSWAY

2025Nigerian Journal of TechnologyJournalOpen access

10.4314/njt.v44i2.5 Full text1 citations

Authors

4 authors across 6 institutions in 2 countries.

Opeyemi BayodeFirst author
- Ekiti State University (NG)
O. O. Aiyelokun
- Lead City University (NG)
- Bells University of Technology (NG)
- University of Ibadan (NG)
as printed: Oluwatobi Aiyelokun
Oluwatoyin Osanyinlokun
Ariyo AdanikinSenior author
- Lagos State Health Service Commission (NG)

Fields

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

Traffic Prediction and Management Techniqueslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2025 · Nigerian Journal of Technology · 1 citations
https://openalex.org/W4414754488

ENHANCING ROAD CRASH PREDICTION: A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS AND SAFETY PERFORMANCE FUNCTIONS ON THE LAGOS-IBADAN EXPRESSWAY · Sankore