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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.

DEVELOPMENT OF A HYBRID NN–CNN DEEP LEARNING FRAMEWORK FOR INTELLIGENT MALWARE DETECTION, FAMILY CLASSIFICATION, AND VARIANT IDENTIFICATION

2026World Journal of Advanced Research and ReviewsJournalOpen access

10.30574/wjarr.2026.31.2.2132 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Chioma Grace NwankwoFirst authorCorresponding
- Michael Okpara University of Agriculture (NG)
Bethran Chibuike Amanze
- Imo State University (NG)
Ikechukwu A. AmaefuleSenior author
- Imo State University (NG)
as printed: Ikechukwu Amaefule

Fields

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

Advanced Malware Detection Techniqueslevel 3 · 0.97
Network Security and Intrusion Detectionlevel 3 · 0.00
Digital and Cyber Forensicslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · World Journal of Advanced Research and Reviews · 0 citations
https://openalex.org/W7203835096

DEVELOPMENT OF A HYBRID NN–CNN DEEP LEARNING FRAMEWORK FOR INTELLIGENT MALWARE DETECTION, FAMILY CLASSIFICATION, AND VARIANT IDENTIFICATION · Sankore