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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.

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage

2025Scientific ReportsJournalOpen access

10.1038/s41598-025-12011-9 Full text10 citations

Authors

5 authors across 6 institutions in 5 countries.

Milica VasićFirst authorCorresponding
as printed: Milica V. Vasić
Paul AwoyeraCorresponding
as printed: Paul O. Awoyera
Olaolu George FadugbaCorresponding
- Kabale University (UG)
- Federal University of Technology (NG)
Ivana Barišić
Ivanka Netinger GrubešaSenior author

Fields

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

Recycling and utilization of industrial and municipal waste in materials productionlevel 3 · 1.00
Cultural Heritage Materials Analysislevel 3 · 0.98
Pigment Synthesis and Propertieslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2025 · Scientific Reports · 10 citations
https://openalex.org/W4413676849

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage · Sankore