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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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A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite in Construction · Sankore

A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite in Construction

2024Waste and Biomass ValorizationJournal

10.1007/s12649-024-02538-9 Full text6 citations

Authors

9 authors across 8 institutions in 3 countries.

Assia Aboubakar MahamatFirst authorCorresponding
- African Institute of Science and Technology (NG)
- Nile University of Nigeria (NG)
Moussa Mahamat Boukar
- Nile University of Nigeria (NG)
Nordine Leklou
Ifeyinwa Ijeoma Obianyo
- African Institute of Science and Technology (NG)
Tido Tiwa Stanislas
- African Institute of Science and Technology (NG)
Numfor Linda Bih
- African Institute of Science and Technology (NG)
Olugbenga Ayeni
- African Institute of Science and Technology (NG)
- Ahmadu Bello University (NG)
Nurudeen Mahmud Ibrahim
- Nile University of Nigeria (NG)
Holmer SavastanoSenior author

Fields

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

Innovative concrete reinforcement materialslevel 3 · 1.00
Hygrothermal properties of building materialslevel 3 · 1.00
Recycled Aggregate Concrete Performancelevel 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
2024 · Waste and Biomass Valorization · 6 citations
https://openalex.org/W4396646466