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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 Machine Learning Framework for Predicting Anomalous Radionuclide Transfer in Phosphate-Rich Semi-Arid Soils

2026International Journal of Research and Innovation in Applied ScienceJournalOpen access

10.51584/ijrias.2026.11170003 Full text0 citations

Authors

3 authors.

L.C. OlinyaFirst author
- University of Port Harcourt (NG)
C. P. Ononugbo
- University of Port Harcourt (NG)
as printed: C.P. Ononugbo
Y. E. Chad-UmorenSenior author
- University of Port Harcourt (NG)
as printed: Y.E Chad-Umoren

Fields

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

Radioactivity and Radon Measurementslevel 3 · 0.50
Radioactive contamination and transferlevel 3 · 0.40
Groundwater and Isotope Geochemistrylevel 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 · International Journal of Research and Innovation in Applied Science · 0 citations
https://openalex.org/W7169666632

A Machine Learning Framework for Predicting Anomalous Radionuclide Transfer in Phosphate-Rich Semi-Arid Soils · Sankore