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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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Experimental assessment with data-driven machine learning-based prediction of compressive strength of waste natural fiber-reinforced sustainable concrete

2025Scientific ReportsJournalOpen access

10.1038/s41598-025-32350-x Full text4 citations

Authors

8 authors across 3 institutions in 3 countries.

Prince PaulFirst author
Md. Kawsarul Islam KabboCorresponding
Rajarshi Das Gupta
Rajarshi Das Gupta
Md. Habibur Rahman Sobuz
Prosanjit Baral
Mohammed Jameel
Sani Aliyu AbubakarSenior authorCorresponding
- Kampala International University (UG)

Fields

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

Innovative concrete reinforcement materialslevel 3 · 0.61
Natural Fiber Reinforced Compositeslevel 3 · 0.28
Concrete and Cement Materials Researchlevel 3 · 0.02

Sources

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

openalexseen September 8, 2026
2025 · Scientific Reports · 4 citations
https://openalex.org/W4417398337

Experimental assessment with data-driven machine learning-based prediction of compressive strength of waste natural fiber-reinforced sustainable concrete · Sankore