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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.

Fuzzified Risk Assessment Model for Detection and Prediction of Flood Using Machine Learning Techniques

2024Publication

10.1109/nigercon62786.2024.10927409 Full text0 citations

Authors

3 authors across 3 institutions in 1 country.

Oladapo, Kayode AbiodunFirst author
- McPherson University (NG)
as printed: Kayode Abiodun Oladapo
Dayo Olufunsho Alowolodu
- Federal University of Technology (NG)
Jide Ebenezer Taiwo AkinsolaSenior author
- Abiola Ajimobi Technical University Ibadan (NG)

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.69
Smart Systems and Machine Learninglevel 3 · 0.69
Network Security and Intrusion Detectionlevel 3 · 0.64

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4408792595

Fuzzified Risk Assessment Model for Detection and Prediction of Flood Using Machine Learning Techniques · Sankore