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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.

Awareness and adoption readiness of machine learning technology in the construction industry of a developing country: a case of nigeria

2024ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)JournalOpen access

10.5935/jetia.v10i47.1072 Full text1 citations

Authors

5 authors across 5 institutions in 3 countries.

Olayinka OmoboyeFirst author
Onyinye Sofolahan
- Lagos State University (NG)
Imoleayo A. Awodele
- Durban University of Technology (ZA)
as printed: Imoleayo Abraham Awodele
Emmanuel Chidiebere Eze
as printed: Emmanuel Eze
Samuel Osusha LoyaSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

BIM and Construction Integrationlevel 3 · 0.77

Sources

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

openalexseen September 9, 2026
2024 · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 1 citations
https://openalex.org/W4400189872

Awareness and adoption readiness of machine learning technology in the construction industry of a developing country: a case of nigeria · Sankore