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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.

PREDICTING ENERGY EFFICIENCY IN 5G ADVANCED NETWORK USING MACHINE LEARNING

2026International Journal of Computer ApplicationsJournalOpen access

10.5120/ijca2026926507 Full text0 citations

Authors

2 authors across 2 institutions in 1 country.

Ifeoma B AsianubaFirst author
- University of Port Harcourt (NG)
as printed: Ifeoma B. Asianuba
Ugochukwu C. NnamdiSenior author
- Lagos State Health Service Commission (NG)
as printed: Ugochukwu Nnamdi

Fields

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

Smart Grid Security and Resiliencelevel 3 · 0.09
Internet of Things and AIlevel 3 · 0.07
Electricity Theft Detection Techniqueslevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Computer Applications · 0 citations
https://openalex.org/W7139933057

PREDICTING ENERGY EFFICIENCY IN 5G ADVANCED NETWORK USING MACHINE LEARNING · Sankore