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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.

Predictive modeling of fatigue and rutting parameters for asphalt cement modified with pretreated oil palm clinker using artificial neural network algorithms to enhance pavement performance

2024Discover Civil EngineeringJournalOpen access

10.1007/s44290-024-00068-w Full text3 citations

Authors

8 authors across 6 institutions in 5 countries.

Nura Shehu Aliyu YaroFirst authorCorresponding
- Ahmadu Bello University (NG)
Muslich Hartadi Sutanto
Noor Zainab Habib
A Usman
as printed: Aliyu Usman
Muhammad Sani Bello
A U Mani
- Ahmadu Bello University (NG)
as printed: Aliyu Umar Mani
Abdulfatai Adinoyi Murana
- Ahmadu Bello University (NG)
Ahmad Hussaini JagabaSenior author

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
Transport Systems and Technologylevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · Discover Civil Engineering · 3 citations
https://openalex.org/W4402054980

Predictive modeling of fatigue and rutting parameters for asphalt cement modified with pretreated oil palm clinker using artificial neural network algorithms to enhance pavement performance · Sankore