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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.

Application of machine learning techniques for detection and filtering of fileless malware

2025Nature Journal of Emerging Sciences Technologies and InnovationsJournalOpen access

10.65752/ztvapz68 Full text0 citations

Authors

5 authors across 4 institutions in 3 countries.

Chikwe Umaru ObiniFirst author
- Ebonyi State University (NG)
Henry Friday Nweke
- David Umahi Federal University of Health Sciences Uburu (NG)
- University of Health Sciences (SO)
Henry Nwani Ogbu
- Ebonyi State University (NG)
Uchenna Fergus Onu
- Ebonyi State University (NG)
Ignatius OgbagaSenior author
- David Umahi Federal University of Health Sciences Uburu (NG)
- University of Health Sciences (SO)
as printed: Ignatius Nwoyibe Ogbaga

Fields

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

Advanced Malware Detection Techniqueslevel 3 · 0.86
Imbalanced Data Classification Techniqueslevel 3 · 0.01
Digital and Cyber Forensicslevel 3 · 0.01

Sources

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

openalexseen September 24, 2026
2025 · Nature Journal of Emerging Sciences Technologies and Innovations · 0 citations
https://openalex.org/W7135385206

Application of machine learning techniques for detection and filtering of fileless malware · Sankore