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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.

Application of machine learning models to investigate the performance of concrete reinforced with oil palm empty fruit brunch (OPEFB) fibers

2022Asian Journal of Civil EngineeringJournal

10.1007/s42107-022-00424-0 Full text20 citations

Authors

3 authors across 2 institutions in 2 countries.

Abiodun KilaniFirst authorCorresponding
- Federal University Oye Ekiti (NG)
as printed: Abiodun J. Kilani
Oluwatobi AdelekeCorresponding
- University of Johannesburg (ZA)
Christopher A. FapohundaSenior author
- University of Johannesburg (ZA)

Fields

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

Natural Fiber Reinforced Compositeslevel 3 · 1.00
Innovative concrete reinforcement materialslevel 3 · 1.00
Structural Behavior of Reinforced Concretelevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Asian Journal of Civil Engineering · 20 citations
https://openalex.org/W4211102922

Application of machine learning models to investigate the performance of concrete reinforced with oil palm empty fruit brunch (OPEFB) fibers · Sankore