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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.

Particle Swarm Optimization (PSO)-based Feature Selection: An Approach for Improving Performance of Classification Model

2025LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)JournalOpen access

0 citations

Authors

3 authors across 2 institutions in 2 countries.

OYEDEMI, OLUYEMISIFirst author
Iyabo Olukemi Awoyelu
- Obafemi Awolowo University (NG)
as printed: Awoyelu, Iyabo Olukemi
Emmanuel Rotimi AdagunodoSenior author
- Obafemi Awolowo University (NG)
as printed: Adagunodo, Emmanuel Rotimi

Fields

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

Scientific and Engineering Research Topicslevel 3 · 0.13
Spam and Phishing Detectionlevel 3 · 0.10
Machine Learning and Data Classificationlevel 3 · 0.09

Sources

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

openalexseen September 9, 2026
2025 · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 0 citations
https://openalex.org/W7120612410

Particle Swarm Optimization (PSO)-based Feature Selection: An Approach for Improving Performance of Classification Model · Sankore