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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.

Integrating Machine Learning and Subsurface Characterization for Improved Urban Flood Modelling and Parameter Optimization

2025Asian Journal of Advanced Research and ReportsJournalOpen access

10.9734/ajarr/2025/v19i71083 Full text0 citations

Authors

9 authors across 8 institutions in 3 countries.

Olalekan AfolabiFirst author
Olalekan AfolabiFirst author
Olalekan AfolabiFirst author
Zainab Akinsemoyin
Emmanuel Kwame Essel
- University of Cape Coast (GH)
as printed: Emmanuel Essel
Michael Oghale Ighofiomoni
- Delta State Polytechnic Ogwashi-Uku (NG)
Kayode Emmanuel Thompson
- Federal University of Technology (NG)
Kabir Abiodun Basit
- University of Ilorin (NG)
Confidence Adimchi ChinonyeremSenior author
- Abia State University (NG)
- Abia State Polytechnic (NG)

Fields

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

Traffic Prediction and Management Techniqueslevel 3 · 0.95

Sources

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

crossrefseen September 6, 2026
2025 · Asian Journal of Advanced Research and Reports · 0 citations
10.9734/ajarr/2025/v19i71083
openalexseen September 9, 2026
2025 · Asian Journal of Advanced Research and Reports · 0 citations
https://openalex.org/W4412036721

Integrating Machine Learning and Subsurface Characterization for Improved Urban Flood Modelling and Parameter Optimization · Sankore