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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 supervised machine learning approach for the prediction of antioxidant activities of Amaranthus viridis seed

2024HeliyonJournalOpen access

10.1016/j.heliyon.2024.e24506 Full text8 citations

Authors

5 authors across 3 institutions in 2 countries.

Babatunde OlawoyeFirst authorCorresponding
- Abiola Ajimobi Technical University Ibadan (NG)
Oladapo Fagbohun
as printed: Oladapo Fisoye Fagbohun
Oyekemi Olabisi Popoola-Akinola
- Abiola Ajimobi Technical University Ibadan (NG)
as printed: Oyekemi Popoola-Akinola
Jide Ebenezer Taiwo Akinsola
- Abiola Ajimobi Technical University Ibadan (NG)
Charles Taiwo AkanbiSenior author
- Obafemi Awolowo University (NG)
- Abiola Ajimobi Technical University Ibadan (NG)

Fields

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

Seed and Plant Biochemistrylevel 3 · 1.00
Protein Hydrolysis and Bioactive Peptideslevel 3 · 0.94
Sensory Analysis and Statistical Methodslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2024 · Heliyon · 8 citations
https://openalex.org/W4390987771

A supervised machine learning approach for the prediction of antioxidant activities of Amaranthus viridis seed · Sankore