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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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Predicting the rheological flow of fresh self-consolidating concrete mixed with limestone powder for slump, V-funnel, L-box and Orimet models using artificial intelligence techniques

2023E3S Web of ConferencesPublicationOpen access

10.1051/e3sconf/202343608014 Full text7 citations

Authors

4 authors across 5 institutions in 3 countries.

Kennedy C. OnyeloweFirst author
- Michael Okpara University of Agriculture (NG)
Denise-Penelope N. Kontoni
Ahmed M. Ebid
- Future University in Egypt (EG)
Michael E. OnyiaSenior author
- University of Nigeria (NG)

Fields

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

Innovations in Concrete and Construction Materialslevel 3 · 1.00
Innovative concrete reinforcement materialslevel 3 · 1.00
Concrete and Cement Materials Researchlevel 3 · 1.00

Sources

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

openalexseen September 10, 2026
2023 · E3S Web of Conferences · 7 citations
https://openalex.org/W4387545204

Predicting the rheological flow of fresh self-consolidating concrete mixed with limestone powder for slump, V-funnel, L-box and Orimet models using artificial intelligence techniques · Sankore