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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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Prediction of heavy metal concentrations in soil using machine learning models

2026Proceedings of the Nigerian Society of Physical SciencesJournalOpen access

10.61298/pnspsc.2026.3.336 Full text0 citations

Authors

4 authors.

Temitope OsobamiroFirst author
- Olabisi Onabanjo University (NG)
Samuel O. Sipeolu
- Olabisi Onabanjo University (NG)
Emmanuel F. Ayo
- Olabisi Onabanjo University (NG)
Sakeenah O. AbdullahSenior author
- Olabisi Onabanjo University (NG)

Fields

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

Heavy metals in environmentlevel 3 · 0.69
Soil Geostatistics and Mappinglevel 3 · 0.05
Water Quality and Pollution Assessmentlevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Proceedings of the Nigerian Society of Physical Sciences · 0 citations
https://openalex.org/W7162247415

Prediction of heavy metal concentrations in soil using machine learning models · Sankore