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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.

Prediction of Compaction Parameters and Permeability of Black Cotton Soil Stabilized with Fine Sand Using Artificial Neural Network

2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.20492885 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Fagge, A. M.First author
- Abubakar Tafawa Balewa University (NG)
Umaru, I.
- Abubakar Tafawa Balewa University (NG)
Abdulkarim, I. I.
- Abubakar Tafawa Balewa University (NG)
Aliyu, H.
- Abubakar Tafawa Balewa University (NG)
Umar, I. I.Senior author
- National Space Research and Development Agency (NG)

Fields

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

Landfill Environmental Impact Studieslevel 3 · 0.36
Soil and Unsaturated Flowlevel 3 · 0.31
Geotechnical Engineering and Soil Stabilizationlevel 3 · 0.08

Sources

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

openalexseen September 9, 2026
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7163050290

Prediction of Compaction Parameters and Permeability of Black Cotton Soil Stabilized with Fine Sand Using Artificial Neural Network · Sankore