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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.

Application of Deep Learning and WT-SST in Localization of Epileptogenic Zone Using Epileptic EEG Signals

2022Applied SciencesJournalOpen access

10.3390/app12104879 Full text17 citations

Authors

8 authors across 3 institutions in 2 countries.

Sani SaminuFirst authorCorresponding
- University of Ilorin (NG)
Guizhi XuCorresponding
Shuai Zhang
as printed: Zhang Shuai
Isselmou Abd El Kader
Adamu Halilu Jabire
- Taraba State University (NG)
Yusuf Kola Ahmed
- University of Ilorin (NG)
Ibrahim Abdullahi Karaye
Isah Salim AhmadSenior author

Fields

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

EEG and Brain-Computer Interfaceslevel 3 · 1.00
Blind Source Separation Techniqueslevel 3 · 0.99
Currency Recognition and Detectionlevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Applied Sciences · 17 citations
https://openalex.org/W4280629905

Application of Deep Learning and WT-SST in Localization of Epileptogenic Zone Using Epileptic EEG Signals · Sankore