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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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Real‐Time IoT‐Enabled Flood Risk Prediction and Adaptive Water Redistribution With Machine Learning: A Case Study of Nigeria

2025Modelling and Simulation in EngineeringJournalOpen access

10.1155/mse/4694316 Full text0 citations

Authors

4 authors across 3 institutions in 2 countries.

Stella N. ArinzeFirst author
- Enugu State University of Science and Technology (NG)
Augustine O. NwajanaCorresponding
Gregory Omozuhiomwen Egbe
- University of Benin (NG)
as printed: Gregory O. Egbe
Solomon H. EbenuwaSenior author

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.90
Hydrological Forecasting Using AIlevel 3 · 0.03
Groundwater and Watershed Analysislevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2025 · Modelling and Simulation in Engineering · 0 citations
https://openalex.org/W7106510087

Real‐Time IoT‐Enabled Flood Risk Prediction and Adaptive Water Redistribution With Machine Learning: A Case Study of Nigeria · Sankore