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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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The Use of Interpretable Artificial Intelligence Inferences in the Estimation of Optimal Moisture Content Utilizing Basic Soil Parameters

2024Indian geotechnical journalJournal

10.1007/s40098-024-00949-y Full text4 citations

Authors

5 authors across 5 institutions in 3 countries.

Rodney Ewusi-WilsonFirst authorCorresponding
- Cape Coast Technical University (GH)
Jerome Anabannye YendawCorresponding
- Botswana International University of Science and Technology (BW)
Sylvanus Sebbeh-Newton
- University of Mines and Technology (GH)
Emmanuel Ike
- Modibbo Adama University of Technology (NG)
Felix Jojo Fianko AyehSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Soil and Unsaturated Flowlevel 3 · 0.99
Soil Geostatistics and Mappinglevel 3 · 0.99
Landslides and related hazardslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2024 · Indian geotechnical journal · 4 citations
https://openalex.org/W4394988391

The Use of Interpretable Artificial Intelligence Inferences in the Estimation of Optimal Moisture Content Utilizing Basic Soil Parameters · Sankore