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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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Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria

2023Natural HazardsJournal

10.1007/s11069-023-06211-7 Full text23 citations

Authors

5 authors.

O. O. AiyelokunFirst authorCorresponding
- University of Ibadan (NG)
O. D. AiyelokunCorresponding
- University of Ibadan (NG)
O. D. Aiyelokun
- University of Ibadan (NG)
O. D. Aiyelokun
- University of Ibadan (NG)
O. A. AgbedeSenior author
- University of Ibadan (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 1.00
Hydrology and Drought Analysislevel 3 · 1.00
Hydrological Forecasting Using AIlevel 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 · Natural Hazards · 23 citations
https://openalex.org/W4386986648

Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria · Sankore