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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 Binary Firefly Optimized Stacking Ensemble Model for Customer Churn Prediction in the Telecommunications Industry

2026Scientific Journal of Computer ScienceJournalOpen access

10.64539/sjcs.v2i2.2026.507 Full text0 citations

Authors

5 authors across 4 institutions in 2 countries.

Abdulrashid AbdulraufFirst author
- The Federal Polytechnic, Ado-Ekiti (NG)
Ma’aruf Mohammed Lawal
- Ahmadu Bello University (NG)
as printed: Maaruf Mohammed Lawal
Oluwatoyin Omoloba
- Federal School of Surveying, Oyo (NG)
Omolara B. Abodunrin
- Federal School of Surveying, Oyo (NG)
as printed: Omolara Busayo Abodunrin
Minkail MohammadSenior author

Fields

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

Customer churn and segmentationlevel 3 · 0.98
Customer Service Quality and Loyaltylevel 3 · 0.00
AI and HR Technologieslevel 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 · Scientific Journal of Computer Science · 0 citations
https://openalex.org/W7172385293

A Binary Firefly Optimized Stacking Ensemble Model for Customer Churn Prediction in the Telecommunications Industry · Sankore