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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.

A HYBRID ENSEMBLE LEARNING APPROACH FOR ENTERPRISE NETWORK THREAT CLASSIFICATION

2026FULafia Journal of Science and TechnologyJournalOpen access

10.62050/fjst2026.v10n2.723 Full text0 citations

Authors

4 authors across 4 institutions in 1 country.

Emmanuel Magai GamboFirst author
- Federal University Lafia (NG)
Timothy Moses
- Federal University Lafia (NG)
as printed: Moses Timothy
Muktar Muhammad Liman
- Federal University Lafia (NG)
as printed: Mukhtar Liman Muhammad
Andrew Ishaku WrefordSenior author
- Federal University Wukari (NG)
as printed: Ishaku Wreford Andrew

Fields

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

Network Security and Intrusion Detectionlevel 3 · 0.66
Internet of Things and AIlevel 3 · 0.04
Scientific and Engineering Research Topicslevel 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 · FULafia Journal of Science and Technology · 0 citations
https://openalex.org/W7161675227

A HYBRID ENSEMBLE LEARNING APPROACH FOR ENTERPRISE NETWORK THREAT CLASSIFICATION · Sankore