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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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Composition-holdout validation of gaussian-process surrogates for reliability-aware multi-property prediction in AA6061 hybrid composites

2026International Journal of Material FormingJournal

10.1007/s12289-026-02081-z Full text0 citations

Authors

4 authors across 3 institutions in 3 countries.

Obinna Onyebuchi BarahFirst authorCorresponding
- Kampala International University (UG)
Abdulrazak Jinadu OtaruCorresponding
Ige Bori
- Federal University of Technology Minna (NG)
Khalil,, Sami F.Senior author
as printed: Sami F. Khalil

Fields

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

Machine Learning in Materials Sciencelevel 3 · 0.23
Natural Fiber Reinforced Compositeslevel 3 · 0.15
Mechanical Behavior of Compositeslevel 3 · 0.10

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Material Forming · 0 citations
https://openalex.org/W7211918828

Composition-holdout validation of gaussian-process surrogates for reliability-aware multi-property prediction in AA6061 hybrid composites · Sankore