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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.

A Hybrid Convolutional Neural Network–Random Forest Framework for Pattern-Based Algorithmic Trading in Financial Markets

2026International Journal of Advances in Engineering and ManagementJournalOpen access

10.5281/zenodo.21867859 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Akenwa, Ingyaken WisdomFirst author
- Federal University Wukari (NG)
- Federal University Lafia (NG)
Oladunjoye John Abiodun
- Federal University Wukari (NG)
- Federal University Lafia (NG)
as printed: Abiodun, Oladunjoye John
Andrew Ishaku WrefordSenior author
- Federal University Wukari (NG)
- Federal University Lafia (NG)
as printed: Wreford, Andrew Ishaku

Fields

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

Stock Market Forecasting Methodslevel 3 · 0.97
Financial Markets and Investment Strategieslevel 3 · 0.00
Advanced Technologies in Various Fieldslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Advances in Engineering and Management · 0 citations
https://openalex.org/W7202115399

A Hybrid Convolutional Neural Network–Random Forest Framework for Pattern-Based Algorithmic Trading in Financial Markets · Sankore