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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.

Detection of Phishing Domains Using Hybridised Deep Learning Techniques

2024Journal of Internet Technology and Secured TransactionJournalOpen access

10.20533/jitst.2046.3723.2024.0108 Full text0 citations

Authors

2 authors across 3 institutions in 1 country.

Timothy AyoFirst author
as printed: T.J. Ayo
Olufunso AlowoloduSenior author
as printed: O.D. Alowolodu

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Misinformation and Its Impactslevel 3 · 0.98
Text and Document Classification Technologieslevel 3 · 0.91

Sources

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

openalexseen September 9, 2026
2024 · Journal of Internet Technology and Secured Transaction · 0 citations
https://openalex.org/W4407919312

Detection of Phishing Domains Using Hybridised Deep Learning Techniques · Sankore