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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.

Short Messaging Service Spam Detection Model Using Natural Language Processing and Deep Learning Techniques

2025FUDMA Journal of Engineering and TechnologyJournalOpen access

10.33003/j1kx8695 Full text0 citations

Authors

6 authors across 2 institutions in 1 country.

Olatunde A. AKANOFirst author
- Abiola Ajimobi Technical University Ibadan (NG)
Wariz A. ISMAEL
- Abiola Ajimobi Technical University Ibadan (NG)
Ayomikun A. Awoseyi
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Ayomikun A. AWOSEYI
Femi AYO
- Olabisi Onabanjo University (NG)
Ifeoluwa M. OLANIYI
- Abiola Ajimobi Technical University Ibadan (NG)
Jide E.T. AKINSOLASenior author
- Abiola Ajimobi Technical University Ibadan (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.94
Advanced Malware Detection Techniqueslevel 3 · 0.01
Imbalanced Data Classification Techniqueslevel 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
2025 · FUDMA Journal of Engineering and Technology · 0 citations
https://openalex.org/W7166557170

Short Messaging Service Spam Detection Model Using Natural Language Processing and Deep Learning Techniques · Sankore