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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.

Comparative analysis of deep learning techniques based COVID-19 impact assessment on electricity consumption in distribution network

2023Nigerian Journal of Technological DevelopmentJournalOpen access

10.4314/njtd.v20i3.1375 Full text7 citations

Authors

5 authors across 3 institutions in 3 countries.

A. O. AmoleFirst authorCorresponding
- Bells University of Technology (NG)
Stephen Oladipo
- University of Johannesburg (ZA)
as printed: S. Oladipo
Desmond Eseoghene Ighravwe
- Bells University of Technology (NG)
as printed: D. Ighravwe
K. A. Makinde
J. AjibolaSenior author
- Bells University of Technology (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 0.98
COVID-19 impact on air qualitylevel 3 · 0.97
Air Quality Monitoring and Forecastinglevel 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
2023 · Nigerian Journal of Technological Development · 7 citations
https://openalex.org/W4387822584

Comparative analysis of deep learning techniques based COVID-19 impact assessment on electricity consumption in distribution network · Sankore