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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 Comparative Study of Machine Learning Algorithms for Predicting Chloride Penetration and Sulfate Resistance in Concrete

2026Lecture notes in civil engineeringPublication

10.1007/978-3-032-08992-2_24 Full text0 citations

Authors

3 authors.

O. O. OmotayoFirst authorCorresponding
- Federal University of Technology (NG)
as printed: Oluwafemi Omotayo
Balikis Oyeleye
- Federal University of Technology (NG)
Joshua AjayiSenior author
- Federal University of Technology (NG)

Fields

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

Concrete and Cement Materials Researchlevel 3 · 0.48
Concrete Corrosion and Durabilitylevel 3 · 0.19
Innovative concrete reinforcement materialslevel 3 · 0.07

Sources

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

openalexseen September 9, 2026
2026 · Lecture notes in civil engineering · 0 citations
https://openalex.org/W7118004952

A Comparative Study of Machine Learning Algorithms for Predicting Chloride Penetration and Sulfate Resistance in Concrete · Sankore