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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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Deep Learning–Driven Anomaly Detection for IoT-Enabled Smart Engineering Systems

2026Scientific Journal of Engineering ResearchJournalOpen access

10.64539/sjer.v2i3.2026.432 Full text0 citations

Authors

5 authors across 4 institutions in 2 countries.

Godfrey Perfectson OiseFirst author
- Wellspring University (NG)
Kevin Chinedu Pius
- Wellspring University (NG)
Felix Oshiorenoya Uloko
- Veritas University (NG)
Immunhierokene Clinton OBRORINDO
- Petroleum Training Institute (NG)
as printed: Immunhierokene Clinton Obrorindo
Roli Lydia OSHASHASenior author
- Petroleum Training Institute (NG)
as printed: Roli Lydia Oshasha

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.94
Smart Grid Security and Resiliencelevel 3 · 0.03
Software System Performance and Reliabilitylevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Scientific Journal of Engineering Research · 0 citations
https://openalex.org/W7161959887

Deep Learning–Driven Anomaly Detection for IoT-Enabled Smart Engineering Systems · Sankore