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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 Machine Learning Approach to Forecasting TCCH CongestiA Machine Learning Approach to Forecasting TCCH Congestion in Nigerian GSM Networks: Comparing Supporton in Nigerian GSM Networks: Comparing Support Vector Regression and Gradient Boosting Regression

2025International Journal of Science and Research ArchiveJournalOpen access

10.30574/ijsra.2025.16.3.2635 Full text0 citations

Authors

3 authors.

Chibuzo EmeruwaFirst author
as printed: Emeruwa C.
Emmanuel Oyo-Ita
as printed: Oyo-Ita E. U.
Enoima Essien UmohSenior author
- University of Cross River State (NG)

Fields

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

Wireless Communication Networks Researchlevel 3 · 0.98
Advanced Wireless Network Optimizationlevel 3 · 0.90

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Science and Research Archive · 0 citations
https://openalex.org/W4414417561

A Machine Learning Approach to Forecasting TCCH CongestiA Machine Learning Approach to Forecasting TCCH Congestion in Nigerian GSM Networks: Comparing Supporton in Nigerian GSM Networks: Comparing Support Vector Regression and Gradient Boosting Regression · Sankore