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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.

Machine Learning Framework for Real-Time Pipeline Anomaly Detection and Maintenance Needs Forecast Using Random Forest and Prophet Model

2024Automation Control and Intelligent SystemsJournalOpen access

10.11648/j.acis.20241202.11 Full text6 citations

Authors

4 authors.

Obi NwokonkwoFirst author
- Federal University of Technology Owerri (NG)
Nwankwo Samuel
- Federal University of Technology Owerri (NG)
Udoka Felista Eze
- Federal University of Technology Owerri (NG)
as printed: Udoka Eze
Adetokunbo Macgregor John-OtumuSenior authorCorresponding
- Federal University of Technology Owerri (NG)
as printed: Adetokunbo John-Otumu

Fields

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

Electricity Theft Detection Techniqueslevel 3 · 1.00
Water Systems and Optimizationlevel 3 · 0.99
Anomaly Detection Techniques and Applicationslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · Automation Control and Intelligent Systems · 6 citations
https://openalex.org/W4401406430

Machine Learning Framework for Real-Time Pipeline Anomaly Detection and Maintenance Needs Forecast Using Random Forest and Prophet Model · Sankore