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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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A hybrid metaheuristic-machine learning framework for high-fidelity prediction of geopolymer concrete compressive strength

2026Journal of Building Pathology and RehabilitationJournal

10.1007/s41024-026-00786-x Full text1 citations

Authors

4 authors.

Godwin AtivorFirst authorCorresponding
- University of Mines and Technology (GH)
Samuel Nana Eshun
- University of Mines and Technology (GH)
Kofi Otchere
- University of Mines and Technology (GH)
as printed: Prince Kofi Otchere
Yao Yevenyo ZiggahSenior author
- University of Mines and Technology (GH)

Fields

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

Concrete and Cement Materials Researchlevel 3 · 0.70
Innovative concrete reinforcement materialslevel 3 · 0.18
Rock Mechanics and Modelinglevel 3 · 0.01

Sources

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

openalexseen September 5, 2026
2026 · Journal of Building Pathology and Rehabilitation · 1 citations
https://openalex.org/W7129070025

A hybrid metaheuristic-machine learning framework for high-fidelity prediction of geopolymer concrete compressive strength · Sankore