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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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STL-ELM: A computationally efficient hybrid approach for predicting high volatility stock market

2025Intelligent Systems with ApplicationsJournalOpen access

10.1016/j.iswa.2025.200564 Full text13 citations

Authors

5 authors across 4 institutions in 4 countries.

Temitope Olubanjo KehindeFirst authorCorresponding
Oluyinka J. Adedokun
Morenikeji Kabirat Kareem
- Federal University of Agriculture, Abeokuta (NG)
Joseph Akpan
- Durban University of Technology (ZA)
Oludolapo Akanni OlanrewajuSenior author
- Durban University of Technology (ZA)
as printed: Oludolapo A. Olanrewaju

Fields

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

Stock Market Forecasting Methodslevel 3 · 1.00
Forecasting Techniques and Applicationslevel 3 · 0.99
Currency Recognition and Detectionlevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2025 · Intelligent Systems with Applications · 13 citations
https://openalex.org/W4412940317

STL-ELM: A computationally efficient hybrid approach for predicting high volatility stock market · Sankore