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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.

Evaluating the effectiveness of machine learning models for path loss prediction at 3.5 GHz with focus on feature prioritization

2024Nigerian Journal of TechnologyJournalOpen access

10.4314/njt.v43i4.15 Full text2 citations

Authors

4 authors.

Farouq E. ShaibuFirst author
- Federal University of Technology Minna (NG)
as printed: F. E. Shaibu
Elizabeth Nonye Onwuka
- Federal University of Technology Minna (NG)
as printed: E. N. Onwuka
N. Salawu
- Federal University of Technology Minna (NG)
Stephen S. OyewobiSenior author
- Federal University of Technology Minna (NG)
as printed: S. S. Oyewobi

Fields

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

Millimeter-Wave Propagation and Modelinglevel 3 · 1.00
Telecommunications and Broadcasting Technologieslevel 3 · 0.99
Advanced MIMO Systems Optimizationlevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · Nigerian Journal of Technology · 2 citations
https://openalex.org/W4408918592

Evaluating the effectiveness of machine learning models for path loss prediction at 3.5 GHz with focus on feature prioritization · Sankore