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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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Enhanced Scorch Occurrence Prediction in Foam Production via a Fusion SMOTE-Tomek Balanced Deep Learning Scheme

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.2.2025.25 Full text2 citations

Authors

12 authors across 6 institutions in 3 countries.

Tabitha Chukwudi AghaunorFirst author
Edith Ugochi Omede
- Delta State University (NG)
Eferhire Valentine Ugbotu
Paul Avwerosuoghene Onoma
- Federal University of Petroleum Resource Effurun (NG)
as printed: Paul Avweresuoghene Onoma
Felix Omoruwou
Asuobite ThankGod Max-Egba
- Federal University of Petroleum Resource Effurun (NG)
Victor Ochuko Geteloma
- Federal University of Petroleum Resource Effurun (NG)
Andrew Okonji Eboka
- Federal College of Education, Kano (NG)
Amaka Patience Binitie
- Federal College of Education, Kano (NG)
Arnold Adimabua Ojugo
- Federal University of Petroleum Resource Effurun (NG)
Christopher Chukwufunaya Odiakaose
- Western Delta University (NG)
Nwanze Chukwudi AshiobaSenior author

Fields

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

Manufacturing Process and Optimizationlevel 3 · 0.89

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 · 2 citations
https://openalex.org/W4412040428

Enhanced Scorch Occurrence Prediction in Foam Production via a Fusion SMOTE-Tomek Balanced Deep Learning Scheme · Sankore