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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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Evaluation of Machine Learning Models for Predicting Flood Susceptibility Using Spatial and Socio-Environmental Attributes in Lagos, Nigeria

2025Asian Journal of Advanced Research and ReportsJournalOpen access

10.9734/ajarr/2025/v19i121235 Full text0 citations

Authors

12 authors across 9 institutions in 2 countries.

Zainab AkinsemoyinFirst author
Zainab AkinsemoyinFirst author
Oluwaseun Peter Adeoye
- University of Ibadan (NG)
Oluwaseun Peter Adeoye
- University of Ibadan (NG)
Chidiebere Anastacia Ezeh
Chidiebere Anastacia Ezeh
Eniola Onatayo
Eniola Onatayo
Oghogho Favour Aisosa
- University of Benin (NG)
Oghogho Favour Aisosa
- University of Benin (NG)
CONFIDENCE ADIMCHI CHINONYEREMSenior author
- Abia State Polytechnic (NG)
- Abia State University (NG)
as printed: Confidence Adimchi Chinonyerem
Confidence Adimchi ChinonyeremSenior author
- Abia State Polytechnic (NG)
- Abia State University (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 1.00
Tropical and Extratropical Cyclones Researchlevel 3 · 0.00
Coastal and Marine Dynamicslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · Asian Journal of Advanced Research and Reports · 0 citations
https://openalex.org/W7115597745

Evaluation of Machine Learning Models for Predicting Flood Susceptibility Using Spatial and Socio-Environmental Attributes in Lagos, Nigeria · Sankore