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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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Machine Learning Based Drought Prediction Using the Standardized Precipitation Evapotranspiration Index (SPEI) in Kebbi State, Nigeria

2025Journal of Atmospheric Science ResearchJournalOpen access

10.30564/jasr.v8i2.8220 Full text0 citations

Authors

3 authors.

Precious Eguagie-SuyiFirst author
- Federal University of Technology (NG)
as printed: Precious Eguagie-suyi
B. M. Dada
- Federal University of Technology (NG)
as printed: Boluwatife Dada
Emmanuel Chilekwu OkogbueSenior author
- Federal University of Technology (NG)
as printed: Emmanuel Chilekwu Okogbue

Fields

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

Hydrology and Drought Analysislevel 3 · 0.98
Energy Load and Power Forecastinglevel 3 · 0.97
Computational Physics and Python Applicationslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2025 · Journal of Atmospheric Science Research · 0 citations
https://openalex.org/W4411615442

Machine Learning Based Drought Prediction Using the Standardized Precipitation Evapotranspiration Index (SPEI) in Kebbi State, Nigeria · Sankore