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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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Application of Machine Learning and Remote Sensing Techniques for Forecasting of Rainfall in Nigeria: From the Perspective of Improved Accuracy

2024Publication

10.1109/seb4sdg60871.2024.10630216 Full text3 citations

Authors

6 authors across 3 institutions in 2 countries.

Lateef A. AkinyemiFirst author
- University of South Africa (ZA)
as printed: Lateef Adesola Akinyemi
Peace Precious Aielumoh
- University of Benin (NG)
Olamide Peter Oshinuga
- Lagos State University (NG)
Ernest Mnkandla
- University of South Africa (ZA)
Mbuyu Sumbwanyanbe
- University of South Africa (ZA)
Oluwagbemiga Omotayo ShoewuSenior author
- Lagos State University (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.78
Advanced Technologies in Various Fieldslevel 3 · 0.73
Insurance and Financial Risk Managementlevel 3 · 0.68

Sources

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

openalexseen September 9, 2026
2024 · 3 citations
https://openalex.org/W4401607576

Application of Machine Learning and Remote Sensing Techniques for Forecasting of Rainfall in Nigeria: From the Perspective of Improved Accuracy · Sankore