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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.

A Machine Learning Approach to Investigate the Effects of Walking Speed on Gait Phase Sub-Durations via Biomarker-Driven Classification

2025European Journal of Applied Science Engineering and TechnologyJournalOpen access

10.59324/ejaset.2025.3(5).02 Full text0 citations

Authors

4 authors across 3 institutions in 2 countries.

A. O. BakareFirst author
S. A. Animashaun
- Lagos State University (NG)
A. A. Babashola
- University of Lagos (NG)
Rotimi KehindeSenior author
as printed: R. O. Kehinde

Fields

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

Balance, Gait, and Falls Preventionlevel 3 · 1.00
Muscle activation and electromyography studieslevel 3 · 1.00
Prosthetics and Rehabilitation Roboticslevel 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
2025 · European Journal of Applied Science Engineering and Technology · 0 citations
https://openalex.org/W4413858478

A Machine Learning Approach to Investigate the Effects of Walking Speed on Gait Phase Sub-Durations via Biomarker-Driven Classification · Sankore