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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.

Optimal deep neural network parameters for power loss minimization analytics

2025Nigerian Journal of TechnologyJournalOpen access

10.4314/njt.v2025.4911 Full text1 citations

Authors

7 authors across 3 institutions in 2 countries.

U. G. InyangFirst author
- University of Uyo (NG)
I. J. Eyoh
- University of Uyo (NG)
U. A. Umoh
- University of Uyo (NG)
E. A. Ubong
- University of Uyo (NG)
E. E. Ene
- University of Uyo (NG)
D. C. Obiyo
B. E. AkponomeSenior author

Fields

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

Optimal Power Flow Distributionlevel 3 · 0.27
Power Quality and Harmonicslevel 3 · 0.13
Thermal Analysis in Power Transmissionlevel 3 · 0.10

Sources

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

openalexseen September 9, 2026
2025 · Nigerian Journal of Technology · 1 citations
https://openalex.org/W7160522622

Optimal deep neural network parameters for power loss minimization analytics · Sankore