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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.

An integrated machine learning approach for predicting the corrosion inhibition performance of Mitragyna speciosa on API 5 L X65 steel in 1 M HCl using ANN, ANFIS, and Genetic Algorithms

2026Next SustainabilityJournalOpen access

10.1016/j.nxsust.2026.100416 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

Silas.O. OkumaFirst authorCorresponding
- Nigeria Maritime University (NG)
Segun Adebayo
- Bowen University (NG)
Ejovi O. Ogagavwodia
- Niger Delta University (NG)
Martins ObasekiSenior author
- Nigeria Maritime University (NG)

Fields

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

Corrosion Behavior and Inhibitionlevel 3 · 0.97
Concrete Corrosion and Durabilitylevel 3 · 0.01
Hydrogen embrittlement and corrosion behaviors in metalslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Next Sustainability · 0 citations
https://openalex.org/W7170300949

An integrated machine learning approach for predicting the corrosion inhibition performance of Mitragyna speciosa on API 5 L X65 steel in 1 M HCl using ANN, ANFIS, and Genetic Algorithms · Sankore