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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.

MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK

2023Journal of Engineering Studies and ResearchJournalOpen access

10.29081/jesr.v28i4.003 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

WASIU AJAGBEFirst author
- University of Ibadan (NG)
Murtadha A. TijaniCorresponding
- Osun State University (NG)
as printed: MURTADHA TIJANI
OLUWAFEMI ODUKOYASenior author
- University of Ibadan (NG)

Fields

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

Innovative concrete reinforcement materialslevel 3 · 0.99
Concrete and Cement Materials Researchlevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2023 · Journal of Engineering Studies and Research · 0 citations
https://openalex.org/W4323353949

MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK · Sankore