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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.

Comparing Machine Learning Models with Witczak NCHRP 1-40D Model for Hot-Mix Asphalt Dynamic Modulus Prediction

2022Arabian Journal for Science and EngineeringJournal

10.1007/s13369-022-06935-x Full text11 citations

Authors

6 authors across 6 institutions in 4 countries.

Ikenna D. UwanuakwaFirst authorCorresponding
Ayobami Adebola Busari
- Federal University Oye Ekiti (NG)
as printed: Ayobami Busari
Shaban Ismael Albrka Ali
Mohd Rosli Mohd Hasan
Ashiru Sani
- Kano State University of Technology (NG)
Sani I. AbbaSenior author
- Baze University (NG)
as printed: S. I. Abba

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
Non-Destructive Testing Techniqueslevel 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
2022 · Arabian Journal for Science and Engineering · 11 citations
https://openalex.org/W4283584195

Comparing Machine Learning Models with Witczak NCHRP 1-40D Model for Hot-Mix Asphalt Dynamic Modulus Prediction · Sankore