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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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What we cover

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.

Optimized textural features for mass classification in digital mammography using a weighted average gravitational search algorithm

2022International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringJournalOpen access

10.11591/ijece.v12i5.pp5001-5013 Full text4 citations

Authors

3 authors across 3 institutions in 1 country.

Oludare Yinka OgundepoFirst author
- Federal University of Petroleum Resource Effurun (NG)
Isaac Ozovehe Avazi Omeiza
- University of Ilorin (NG)
Jonathan P. OguntoyeSenior author
- Ladoke Akintola University of Technology (NG)
as printed: Jonathan Ponmile Oguntoye

Fields

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

AI in cancer detectionlevel 3 · 1.00
Gene expression and cancer classificationlevel 3 · 0.96
Image Retrieval and Classification Techniqueslevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2022 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 4 citations
https://openalex.org/W4289260033

Optimized textural features for mass classification in digital mammography using a weighted average gravitational search algorithm · Sankore