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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 hybrid correlation-based deep learning model for email spam classification using fuzzy inference system

2023Decision Analytics JournalJournalOpen access

10.1016/j.dajour.2023.100390 Full text29 citations

Authors

5 authors across 3 institutions in 1 country.

Femi Emmanuel AyoFirst author
- Olabisi Onabanjo University (NG)
Lukman Adebayo Ogundele
- Olabisi Onabanjo University (NG)
Solanke Olakunle
- Olabisi Onabanjo University (NG)
Joseph Bamidele AwotundeCorresponding
- University of Ilorin (NG)
Funmilayo A. KasaliSenior author
- Mountain Top University (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 1.00
Internet Traffic Analysis and Secure E-votinglevel 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
2023 · Decision Analytics Journal · 29 citations
https://openalex.org/W4390146820

A hybrid correlation-based deep learning model for email spam classification using fuzzy inference system · Sankore