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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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Hybrid AI-Based Floodplain Mapping and Early Warning Systems Using Ensemble and Deep Learning Models in Data-Scarce Regions

2026Center of Artificial IntelligenceJournalOpen access

10.65591/cai-50-2026 Full text0 citations

Authors

5 authors across 2 institutions in 1 country.

Idowu Olugbenga AdewumiFirst author
- Forestry Research Institute of Nigeria (NG)
as printed: Idowu Olugbenga ADEWUMI
Bukola Olanrewaju Afolabi
- Forestry Research Institute of Nigeria (NG)
- University of Ibadan (NG)
as printed: Bukola Olanrewaju AFOLABI
Iyiola Tope ONATOLA
- Forestry Research Institute of Nigeria (NG)
- University of Ibadan (NG)
Noah Taiwo FADELE
- Forestry Research Institute of Nigeria (NG)
Joseph Tyosar ATESenior author

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.98
Hydrological Forecasting Using AIlevel 3 · 0.00
Coastal wetland ecosystem 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
2026 · Center of Artificial Intelligence · 0 citations
https://openalex.org/W7159956235

Hybrid AI-Based Floodplain Mapping and Early Warning Systems Using Ensemble and Deep Learning Models in Data-Scarce Regions · Sankore