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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.

Prediction of monthly rainfall in selected African stations using deep learning algorithms

2024IOP Conference Series Earth and Environmental SciencePublicationOpen access

10.1088/1755-1315/1428/1/012005 Full text1 citations

Authors

6 authors across 2 institutions in 1 country.

T.K. SamsonFirst author
- Bowen University (NG)
as printed: T. K. Samson
Francis O. Aweda
- Bowen University (NG)
as printed: F. O. Aweda
A. J. Omoliki
- Bowen University (NG)
G. C. George
- Covenant University (NG)
O. F. Oladapo
- Covenant University (NG)
E. I. OgunwaleSenior author
- Covenant University (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.99
Traffic Prediction and Management Techniqueslevel 3 · 0.98
Energy Load and Power Forecastinglevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · IOP Conference Series Earth and Environmental Science · 1 citations
https://openalex.org/W4405566100

Prediction of monthly rainfall in selected African stations using deep learning algorithms · Sankore