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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 Transformer Oil Insulation Strength Based on Physical Quantities Using Ensemble Machine Learning Model

2026Jurnal Nasional Teknik ElektroJournalOpen access

10.25077/jnte.v15n2.1605.2026 Full text0 citations

Authors

3 authors across 4 institutions in 4 countries.

Musbahu Garba IndabawaFirst author
Nouruddeen Bashir
as printed: Nouruddeen Bashir Umar
Rabiu Aliyu AbdulkadirSenior author
- Kano State University of Technology (NG)

Fields

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

Power Transformer Diagnostics and Insulationlevel 3 · 1.00
Power Systems Fault Detectionlevel 3 · 0.00
High voltage insulation and dielectric phenomenalevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Jurnal Nasional Teknik Elektro · 0 citations
https://openalex.org/W7203770455

Prediction of Transformer Oil Insulation Strength Based on Physical Quantities Using Ensemble Machine Learning Model · Sankore