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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.

Early Anomaly Detection for Industrial Manufacturing Plant using IoT and Machine Learning

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si497 Full text0 citations

Authors

4 authors across 2 institutions in 2 countries.

*Stella I. MonyeFirst author
Adedotun O. Adetunla
- University of Johannesburg (ZA)
Sunday A. Afolalu
- University of Johannesburg (ZA)
- Afe Babalola University (NG)
as printed: Sunday Adeniran Afolalu
Snow Ngozi MonyeSenior author
- Afe Babalola University (NG)

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.33
Machine Fault Diagnosis Techniqueslevel 3 · 0.10
Digital Transformation in Industrylevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2025 · NIPES Journal of Science and Technology Research · 0 citations
https://openalex.org/W7125585378

Early Anomaly Detection for Industrial Manufacturing Plant using IoT and Machine Learning · Sankore