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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.

Machine Learning–Based Short‐Circuit Prediction in Electricity Distribution Transformers

2026Journal of Electrical and Computer EngineeringJournalOpen access

10.1155/jece/4062118 Full text0 citations

Authors

5 authors across 5 institutions in 3 countries.

C. KehindeFirst author
- Federal University of Technology (NG)
Brendan Chijioke Ubochi
- University of Johannesburg (ZA)
- Federal University of Technology (NG)
as printed: B. C. Ubochi
John MacaulayCorresponding
as printed: J. Macaulay
Okechi Onuoha
as printed: O. Onuoha
Nnamdi I. NwuluSenior author
- University of Johannesburg (ZA)
as printed: N. Nwulu

Fields

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

Power Transformer Diagnostics and Insulationlevel 3 · 0.93
Electricity Theft Detection Techniqueslevel 3 · 0.01
Power Systems Fault Detectionlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Journal of Electrical and Computer Engineering · 0 citations
https://openalex.org/W7134190990

Machine Learning–Based Short‐Circuit Prediction in Electricity Distribution Transformers · Sankore