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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.

Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques

2022Advances in Materials Science and EngineeringJournalOpen access

10.1155/2022/4602064 Full text10 citations

Authors

5 authors across 5 institutions in 3 countries.

Kennedy C. OnyeloweFirst authorCorresponding
- Kampala International University (UG)
Jamshid Shakeri
Hasel Amini-Khoshalan
Thompson Usungedo
- Michael Okpara University of Agriculture (NG)
as printed: Thompson F. Usungedo
Mohammadreza Alimoradi-JaziSenior author

Fields

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

Natural Fiber Reinforced Compositeslevel 3 · 0.94
Innovations in Concrete and Construction Materialslevel 3 · 0.94
Coal Combustion and Slurry Processinglevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2022 · Advances in Materials Science and Engineering · 10 citations
https://openalex.org/W4214478940

Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques · Sankore