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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.

Advanced Mobile Money Fraud Detection Using CNN-BiLSTM and Optimized SGD with Momentum

2025AJIT-e Academic Journal of Information TechnologyJournalOpen access

10.5824/ajite.2025.03.002.x Full text0 citations

Authors

4 authors across 2 institutions in 2 countries.

Niamatu YussifFirst author
- Kwame Nkrumah University of Science and Technology (GH)
Kate Takyi
- Kwame Nkrumah University of Science and Technology (GH)
Rose-Mary Owusuaa Mensah Gyening
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Rose-mary Owusuaa Mensah Gyening
Samuelson Israel Boadu-acheampongSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.98
Blockchain Technology Applications and Securitylevel 3 · 0.94
Currency Recognition and Detectionlevel 3 · 0.92

Sources

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

openalexseen September 5, 2026
2025 · AJIT-e Academic Journal of Information Technology · 0 citations
https://openalex.org/W4413877797

Advanced Mobile Money Fraud Detection Using CNN-BiLSTM and Optimized SGD with Momentum · Sankore