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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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Machine learning-based modeling to predict and parametrically optimize the compressive strength of nanomaterial concrete composites exposed to elevated temperatures

2025Case Studies in Construction MaterialsJournalOpen access

10.1016/j.cscm.2025.e05546 Full text5 citations

Authors

7 authors across 5 institutions in 3 countries.

Md. Habibur Rahman SobuzFirst authorCorresponding
Abdullah AlzlfawiCorresponding
Ibrahim Y. HakeemCorresponding
Md. Kanan Chowdhury Tilak
Md. Kawsarul Islam Kabbo
Mohammed Jameel
Sani Aliyu AbubakarSenior authorCorresponding
- Kampala International University (UG)

Fields

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

Fire effects on concrete materialslevel 3 · 0.55
Innovative concrete reinforcement materialslevel 3 · 0.19
Concrete and Cement Materials Researchlevel 3 · 0.17

Sources

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

openalexseen September 8, 2026
2025 · Case Studies in Construction Materials · 5 citations
https://openalex.org/W4416508765

Machine learning-based modeling to predict and parametrically optimize the compressive strength of nanomaterial concrete composites exposed to elevated temperatures · Sankore