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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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COMPRESSIVE STRENGTH PREDICTION FOR SELF-COMPACTING CONCRETE USING ARTIFICIAL NEURAL NETWORKS

2024Malaysian Journal of Civil EngineeringJournalOpen access

10.11113/mjce.v36.22507 Full text1 citations

Authors

5 authors across 3 institutions in 1 country.

Samson O. OdeyemiFirst author
- Kwara State University (NG)
as printed: Samson Olalekan Odeyemi
Joshua Tunbosun Akinwamide
- The Federal Polytechnic, Ado-Ekiti (NG)
Mokanmiyo Adedeji Olawale
- Kwara State University (NG)
Oluwayinka Glory Akinwamide
- The Federal Polytechnic, Ado-Ekiti (NG)
Uwemedimo Nyong WilsonSenior author
- Nigerian Defence Academy (NG)

Fields

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

Innovative concrete reinforcement materialslevel 3 · 1.00
Concrete and Cement Materials Researchlevel 3 · 1.00
Infrastructure Maintenance and Monitoringlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Malaysian Journal of Civil Engineering · 1 citations
https://openalex.org/W4401192438

COMPRESSIVE STRENGTH PREDICTION FOR SELF-COMPACTING CONCRETE USING ARTIFICIAL NEURAL NETWORKS · Sankore