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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 TECHNIQUES TO PREDICT SOME GEOTECHNICAL INDICES IN EKITI STATE, SOUTHWESTERN NIGERIA

2023PublicationOpen access

10.46254/an12.20220754 Full text1 citations

Authors

6 authors across 2 institutions in 1 country.

Joshua Tunbosun AkinwamideFirst author
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Joshua Akinwamide
Jacob Odeh Ehiorobo
- University of Benin (NG)
. Osuji Sylvester Obinna
- University of Benin (NG)
. Osuji Sylvester Obinna
- University of Benin (NG)
, ebuka.nwankwo@uniben.edu NwankwoSenior author
- University of Benin (NG)
, ebuka.nwankwo@uniben.edu NwankwoSenior author
- University of Benin (NG)

Fields

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

Mining Techniques and Economicslevel 3 · 0.53

Sources

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

openalexseen September 9, 2026
2023 · 1 citations
https://openalex.org/W4376648191

APPLICATION OF MACHINE LEARNING TECHNIQUES TO PREDICT SOME GEOTECHNICAL INDICES IN EKITI STATE, SOUTHWESTERN NIGERIA · Sankore