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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.

Classification of Parkinson’s Disease Using MRMR and ICA Prediction Models - A Comparative Study

2024Publication

10.1109/seb4sdg60871.2024.10629707 Full text1 citations

Authors

4 authors across 2 institutions in 2 countries.

Prisca OlawoyeFirst author
- Landmark University (NG)
as printed: Prisca O. Olawoye
Marion Olubunmi Adebiyi
- Landmark University (NG)
as printed: Marion O. Adebiyi
Sotonye Vydah Harry
- Landmark University (NG)
Micheal Olaolu ArowoloSenior author
as printed: Micheal O. Arowolo

Fields

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

Currency Recognition and Detectionlevel 3 · 0.88
Brain Tumor Detection and Classificationlevel 3 · 0.85
Blind Source Separation Techniqueslevel 3 · 0.85

Sources

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

openalexseen September 9, 2026
2024 · 1 citations
https://openalex.org/W4401607963

Classification of Parkinson’s Disease Using MRMR and ICA Prediction Models - A Comparative Study · Sankore