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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.

Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection

2024Intelligent Systems with ApplicationsJournalOpen access

10.1016/j.iswa.2024.200462 Full text13 citations

Authors

5 authors across 2 institutions in 1 country.

Lambert Kofi Gyan DanquahFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Stanley Yaw Appiah
- Kwame Nkrumah University of Science and Technology (GH)
Victoria Adzovi Mantey
- Kwame Nkrumah University of Science and Technology (GH)
Iddrisu Danlard
- Sunyani Technical University (GH)
Emmanuel Kofi AkowuahSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Internet Traffic Analysis and Secure E-votinglevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 1.00
Spam and Phishing 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 5, 2026
2024 · Intelligent Systems with Applications · 13 citations
https://openalex.org/W4404884791

Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection · Sankore