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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.

COMPARISON OF DEEP LEARNING ALEXNET AND SUPPORT VECTOR MACHINE TO CLASSIFY SEVERITY OF SICKLE CELL ANEMIA

2022BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)JournalOpen access

10.56892/bimajst.v6i02.370 Full text0 citations

Authors

4 authors across 5 institutions in 1 country.

Hajara Abdulkarim AliyuFirst author
- Kwara State Polytechnic (NG)
- Hussaini Adamu Federal Polytechnic (NG)
as printed: HAJARA ABDULKARIM ALIYU
Muhammad Jamilu Ibrahim
- Sule Lamido University Kafin Hausa (NG)
as printed: MUHAMMAD JAMILU IBRAHIM
Sani Saminu
- University of Ilorin (NG)
as printed: SANI SAMINU
Fatima Abdullahi MuhammadSenior author
- Bayero University Kano (NG)
as printed: FATIMA ABDULLAHI MUHAMMAD

Fields

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

Digital Imaging for Blood Diseaseslevel 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 · BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041) · 0 citations
https://openalex.org/W4297845555

COMPARISON OF DEEP LEARNING ALEXNET AND SUPPORT VECTOR MACHINE TO CLASSIFY SEVERITY OF SICKLE CELL ANEMIA · Sankore