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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.

Comparative predictive modelling of machine learning techniques for network traffic analysis

2026Scientific ReportsJournalOpen access

10.1038/s41598-026-68318-8 Full text0 citations

Authors

6 authors across 6 institutions in 3 countries.

Ojonukpe S. EgwucheFirst authorCorresponding
Mercy N. Magoso
- Great Zimbabwe University (ZW)
Mercy Nyasha Magoso
- Great Zimbabwe University (ZW)
as printed: Mercy N. Magoso
Danjuma I. Haruna
- Federal University of Technology (NG)
Yetunde Esther OgunwaleSenior author
- University of Ilesa (NG)
as printed: Yetunde E. Ogunwale
Yetunde E. OgunwaleSenior author

Fields

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

Internet Traffic Analysis and Secure E-votinglevel 3 · 0.78
Network Security and Intrusion Detectionlevel 3 · 0.06
Legal and Policy Issueslevel 3 · 0.03

Sources

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

openalexseen September 24, 2026
2026 · Scientific Reports · 0 citations
https://openalex.org/W7204748422

Comparative predictive modelling of machine learning techniques for network traffic analysis · Sankore