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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.

Performance Comparison of Auto-Regressive Moving Average (ARIMA) and Artificial Neural Networks (ANN) in Ginger Price and Output Forecasting in Nigeria (2021–2025)

2026International Journal of Data Science and AnalysisJournalOpen access

10.11648/j.ijdsa.20261204.12 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Fidelis TankoFirst authorCorresponding
- The Federal Polytechnic, Ado-Ekiti (NG)
Faith Ibrahim
- Federal University of Technology Minna (NG)
Ezekiel Yisa
- Federal University of Technology Minna (NG)
A. O. OjoSenior author
- Federal University of Technology Minna (NG)
as printed: Alaba Ojo

Fields

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

Agricultural Economics and Practiceslevel 3 · 0.29
Ginger and Zingiberaceae researchlevel 3 · 0.16
Soil and Land Suitability Analysislevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Data Science and Analysis · 0 citations
https://openalex.org/W7171557976

Performance Comparison of Auto-Regressive Moving Average (ARIMA) and Artificial Neural Networks (ANN) in Ginger Price and Output Forecasting in Nigeria (2021–2025) · Sankore