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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.

Development of an Optimized Hybrid XGBoost–GRU Model for Detection of Ponzi Schemes in Ethereum Transaction Networks

2025FUDMA Journal of Engineering and TechnologyJournalOpen access

10.33003/r3emct63 Full text0 citations

Authors

5 authors.

Jennifer BalaFirst author
- Federal University of Technology Minna (NG)
as printed: Jennifer BALA
Sikiru O. SUBAIRU
- Federal University of Technology Minna (NG)
Noel M. DOGONYARO
- Federal University of Technology Minna (NG)
Joseph A. Ojeniyi
- Federal University of Technology Minna (NG)
as printed: Joseph A. OJENIYI
Suleiman AhmadSenior author
- Federal University of Technology Minna (NG)
as printed: Suleiman AHMAD

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.58
Blockchain Technology Applications and Securitylevel 3 · 0.10
Financial Distress and Bankruptcy Predictionlevel 3 · 0.09

Sources

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

openalexseen September 9, 2026
2025 · FUDMA Journal of Engineering and Technology · 0 citations
https://openalex.org/W7166511096

Development of an Optimized Hybrid XGBoost–GRU Model for Detection of Ponzi Schemes in Ethereum Transaction Networks · Sankore