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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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Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems

2026UMYU ScientificaJournalOpen access

10.56919/usci.2651.043 Full text0 citations

Authors

6 authors across 5 institutions in 3 countries.

Damilare Stephen AdepehinFirst author
- Benue State University (NG)
Pauline Oluwatoyin Ijila
Adeyemi Paul Adesope
- Obafemi Awolowo University (NG)
Elochukwu Okoye
as printed: Elochukwu Emmanuel Okoye
Inalegwu A Ngbede
as printed: Inalegwu Adoche Ngbede
Mary Tongha EkwuSenior author

Fields

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

Geochemistry and Geologic Mappinglevel 3 · 0.60
Geophysical and Geoelectrical Methodslevel 3 · 0.24
Soil Geostatistics and Mappinglevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · UMYU Scientifica · 0 citations
https://openalex.org/W7160833437

Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems · Sankore