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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.

Development of binary models for prediction and optimization of nutritional values of enriched kokoro : a case of response surface methodology (RSM) and artificial neural network (ANN)

2022Chemical Product and Process ModelingJournal

10.1515/cppm-2022-0011 Full text1 citations

Authors

3 authors across 3 institutions in 1 country.

B. K AdeoyeFirst author
- Federal University of Technology (NG)
as printed: Babatunde Kazeem Adeoye
Olajide Olukayode AjalaCorresponding
- Obafemi Awolowo University (NG)
Emmanuel O. OkeSenior author
- Michael Okpara University of Agriculture (NG)
as printed: Emmanuel Olusola Oke

Fields

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

Food composition and propertieslevel 3 · 0.99
Food and Agricultural Scienceslevel 3 · 0.99
Seed and Plant Biochemistrylevel 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
2022 · Chemical Product and Process Modeling · 1 citations
https://openalex.org/W4224297798

Development of binary models for prediction and optimization of nutritional values of enriched kokoro : a case of response surface methodology (RSM) and artificial neural network (ANN) · Sankore