Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Comparative Analysis of Machine Learning and Deep Learning Models for Real-Time Driver Drowsiness Detection.

2026International Journal of Latest Technology in Engineering Management & Applied ScienceJournalOpen access

10.51583/ijltemas.2026.150600239 Full text0 citations

Authors

4 authors.

Charles Roland HarunaFirst author
- University of Cape Coast (GH)
Maame G. Asante-Mensah
- University of Cape Coast (GH)
as printed: Maame Gyamfua Asante-Mensah
Kwadwo Sarbeng-Baafi
- University of Cape Coast (GH)
Sandro Kwame AmofaSenior author
- University of Cape Coast (GH)

Fields

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

Sleep and Work-Related Fatiguelevel 3 · 0.97
Ergonomics and Musculoskeletal Disorderslevel 3 · 0.00
Gaze Tracking and Assistive Technologylevel 3 · 0.00

Sources

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

crossrefseen September 6, 2026
2026 · International Journal of Latest Technology in Engineering Management & Applied Science · 0 citations
10.51583/ijltemas.2026.150600239
openalexseen September 5, 2026
2026 · International Journal of Latest Technology in Engineering Management & Applied Science · 0 citations
https://openalex.org/W7172131070

Comparative Analysis of Machine Learning and Deep Learning Models for Real-Time Driver Drowsiness Detection. · Sankore