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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.

Extreme Gradient Boosting: A Machine Learning Technique for Daily Global Solar Radiation Forecasting on Tilted Surfaces

2022Journal of Engineering SciencesJournalOpen access

10.21272/jes.2022.9(2).e1 Full text8 citations

Authors

4 authors across 2 institutions in 1 country.

Oguejiofor Miracle MbahFirst author
- Federal University Oye Ekiti (NG)
as printed: O. M. Mbah
Chioma Ifeyinwa Madueke
- Federal University Oye Ekiti (NG)
as printed: C. I. Madueke
Reginald Umunakwe
- Federal University Oye Ekiti (NG)
as printed: R. Umunakwe
M. N. AgbaSenior author
- University of Lagos (NG)

Fields

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

Solar Radiation and Photovoltaicslevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 1.00
Grey System Theory Applicationslevel 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
2022 · Journal of Engineering Sciences · 8 citations
https://openalex.org/W4320155437

Extreme Gradient Boosting: A Machine Learning Technique for Daily Global Solar Radiation Forecasting on Tilted Surfaces · Sankore