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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.

Performance Evaluation of Machine Learning based Robocalls Detection Models in Telephony Networks

2022International Journal of Computer Network and Information SecurityJournalOpen access

10.5815/ijcnis.2022.06.04 Full text1 citations

Authors

5 authors.

Bodunde Odunola AkinyemiFirst author
- Obafemi Awolowo University (NG)
as printed: Bodunde O. Akinyemi
Oluwatoyin H. Odukoya
- Obafemi Awolowo University (NG)
Mistura Laide Sanni
- Obafemi Awolowo University (NG)
as printed: Mistura L. Sanni
Gilbert Sewagnon
- Obafemi Awolowo University (NG)
Ganiyu Adesola AderounmuSenior author
- Obafemi Awolowo University (NG)
as printed: Ganiyu A. Aderounmu

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Internet Traffic Analysis and Secure E-votinglevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · International Journal of Computer Network and Information Security · 1 citations
https://openalex.org/W4365131019

Performance Evaluation of Machine Learning based Robocalls Detection Models in Telephony Networks · Sankore