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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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Optimised stacking generalisation methodology for groundwater level prediction

2026Environmental Research CommunicationsJournalOpen access

10.1088/2515-7620/ae49f4 Full text2 citations

Authors

4 authors.

Jamel SeiduFirst author
- University of Mines and Technology (GH)
Anthony Ewusi
- University of Mines and Technology (GH)
Jerry Samuel Yaw Kuma
- University of Mines and Technology (GH)
Yao Yevenyo ZiggahSenior author
- University of Mines and Technology (GH)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.71
Machine Learning and ELMlevel 3 · 0.14
Groundwater and Watershed Analysislevel 3 · 0.01

Sources

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

openalexseen September 5, 2026
2026 · Environmental Research Communications · 2 citations
https://openalex.org/W7131224604

Optimised stacking generalisation methodology for groundwater level prediction · Sankore