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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.

A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets

2022Scientific ReportsJournalOpen access

10.1038/s41598-022-18993-0 Full text60 citations

Authors

4 authors across 2 institutions in 1 country.

Olatunji A. AkinolaFirst author
- University of KwaZulu-Natal (ZA)
Absalom E. Ezugwu
- Umkhuseli Innovation and Research Management (ZA)
- University of KwaZulu-Natal (ZA)
Olaide Nathaniel Oyelade
- University of KwaZulu-Natal (ZA)
as printed: Olaide N. Oyelade
Jeffery O. AgushakaSenior author
- University of KwaZulu-Natal (ZA)
as printed: Jeffrey O. Agushaka

Fields

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

Metaheuristic Optimization Algorithms Researchlevel 3 · 1.00
Face and Expression Recognitionlevel 3 · 1.00
Evolutionary Algorithms and Applicationslevel 3 · 1.00

Sources

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

openalexseen September 8, 2026
2022 · Scientific Reports · 60 citations
https://openalex.org/W4294243546

A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets · Sankore