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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 SVM Hyperparameters for Breast Cancer Data Classification using Hybrid Particle Swarm Optimization

2024Publication

10.1109/iciestr60916.2024.10798392 Full text0 citations

Authors

6 authors across 3 institutions in 2 countries.

Abdullahi T. SulaimanFirst author
- Ahmadu Bello University (NG)
as printed: A. T. Sulaiman
Habeeb Bello-Salau
- Ahmadu Bello University (NG)
as printed: H. Bello-Salau
Adeiza James Onumanyi
- Council for Scientific and Industrial Research (ZA)
as printed: A. J. Onumanyi
Ahmed Tijani Salawudeen
- University of Jos (NG)
as printed: A. T. Salawudeen
Risikat Folashade Adebiyi
- Ahmadu Bello University (NG)
as printed: R. F. Adebiyi
Muhammed Bashir Mu'AzuSenior author
- Ahmadu Bello University (NG)
as printed: M. B. Mu’azu

Fields

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

AI in cancer detectionlevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4405601634

Optimizing SVM Hyperparameters for Breast Cancer Data Classification using Hybrid Particle Swarm Optimization · Sankore