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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.

Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation

2026Bulletin of the National Research Centre/Bulletin of the National Research CenterJournalOpen access

10.1186/s42269-026-01453-4 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Barka Piyinkir NdahiFirst authorCorresponding
- University of Maiduguri (NG)
Opeyemi Aderiike Abisoye
- Federal University of Technology Minna (NG)
Oluwaseun A. Ojerinde
- Federal University of Technology Minna (NG)
as printed: Oluwaseun Adeniyi Ojerinde
Hamzat Olanrewaju AliyuSenior author
- Federal University of Technology Minna (NG)

Fields

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

Software Engineering Researchlevel 3 · 0.96
Advanced Malware Detection Techniqueslevel 3 · 0.00
Machine Fault Diagnosis Techniqueslevel 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 · Bulletin of the National Research Centre/Bulletin of the National Research Center · 0 citations
https://openalex.org/W7171452543

Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation · Sankore