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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.

A REAL-TIME HYBRID DEEP LEARNING MODEL FOR PREDICTING FIRE OUTBREAKS CAUSED BY ELECTRICAL FAILURE

2025International Journal of Machine Learning and CyberneticsJournalOpen access

10.34218/ijmlc_03_02_001 Full text0 citations

Authors

2 authors across 2 institutions in 1 country.

Igbudu Kingsley EzebunwoFirst author
- Federal University Otuoke (NG)
- Rivers State University (NG)
Dr. Nlerum P. AneboSenior author
as printed: Nlerum Promise Anebo

Fields

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

Fire Detection and Safety Systemslevel 3 · 0.99
Electrical Fault Detection and Protectionlevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Machine Learning and Cybernetics · 0 citations
https://openalex.org/W4415076799

A REAL-TIME HYBRID DEEP LEARNING MODEL FOR PREDICTING FIRE OUTBREAKS CAUSED BY ELECTRICAL FAILURE · Sankore