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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 resilient modulus of fine-grained soil for pavement design using KNN, MARS, and random forest techniques

2023Arabian Journal of GeosciencesJournal

10.1007/s12517-023-11469-z Full text12 citations

Authors

3 authors across 3 institutions in 2 countries.

Chijioke Christopher IkeagwuaniFirst authorCorresponding
- Enugu State University of Science and Technology (NG)
- University of Nigeria (NG)
Chukwuebuka C NwekeCorresponding
as printed: Chukwuebuka Chukwuemeka Nweke
Hyginus N. OnahSenior authorCorresponding
- Enugu State University of Science and Technology (NG)
- University of Nigeria (NG)
as printed: Hyginus Nwankwo Onah

Fields

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

Asphalt Pavement Performance Evaluationlevel 3 · 1.00
Infrastructure Maintenance and Monitoringlevel 3 · 1.00
Geotechnical Engineering and Analysislevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2023 · Arabian Journal of Geosciences · 12 citations
https://openalex.org/W4378533180

Prediction of resilient modulus of fine-grained soil for pavement design using KNN, MARS, and random forest techniques · Sankore