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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.

AutoMalariaNet: A VGG16-Based Deep Learning Model for High-Performance Automated Malaria Parasite Detection in Blood Smear Images

2025American Journal of Neural Networks and ApplicationsJournalOpen access

10.11648/j.ajnna.20251101.12 Full text0 citations

Authors

2 authors across 2 institutions in 1 country.

Emmanuel OshoiribhorFirst author
- Ambrose Alli University (NG)
Adetokunbo Macgregor John-OtumuSenior authorCorresponding
- Federal University of Technology Owerri (NG)
as printed: Adetokunbo John-Otumu

Fields

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

Digital Imaging for Blood Diseaseslevel 3 · 1.00
Mosquito-borne diseases and controllevel 3 · 0.99
Viral Infections and Vectorslevel 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
2025 · American Journal of Neural Networks and Applications · 0 citations
https://openalex.org/W4410145380

AutoMalariaNet: A VGG16-Based Deep Learning Model for High-Performance Automated Malaria Parasite Detection in Blood Smear Images · Sankore