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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.

Users’ Evaluation of Traffic Congestion in LTE Networks using Machine Learning Techniques

2023Artificial Intelligence AdvancesJournalOpen access

10.30564/aia.v5i1.5452 Full text8 citations

Authors

4 authors across 2 institutions in 1 country.

Bamidele Moses KuboyeFirst authorCorresponding
- Federal University of Technology (NG)
Adedamola Israel AdedipeCorresponding
- Federal University of Technology (NG)
Segun Victor OlojaCorresponding
- Olusegun Agagu University of Science and Technology (NG)
Olanrewaju Ayodeji OboloSenior authorCorresponding
- Olusegun Agagu University of Science and Technology (NG)

Fields

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

Customer churn and segmentationlevel 3 · 0.93
Telecommunications and Broadcasting Technologieslevel 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
2023 · Artificial Intelligence Advances · 8 citations
https://openalex.org/W4365453871

Users’ Evaluation of Traffic Congestion in LTE Networks using Machine Learning Techniques · Sankore