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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.

Predicting Karst Deformation from Climate Indices Using Hybrid Multi-layer Perceptron (MLP) Model

2024Springer series in geomechanics and geoengineeringPublication

10.1007/978-3-031-76528-5_21 Full text0 citations

Authors

6 authors across 4 institutions in 2 countries.

Xu LinrongFirst authorCorresponding
Bamaiyi Usman AliyuCorresponding
- Ahmadu Bello University (NG)
Wang min
Al-Amin Danladi BelloCorresponding
- Ahmadu Bello University (NG)
Musa Inusa
- Federal College of Education, Kano (NG)
- Federal College of Education, Zaria (NG)
Yuanxingzi HeSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.99
Karst Systems and Hydrogeologylevel 3 · 0.99
Groundwater and Watershed Analysislevel 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
2024 · Springer series in geomechanics and geoengineering · 0 citations
https://openalex.org/W4404005917

Predicting Karst Deformation from Climate Indices Using Hybrid Multi-layer Perceptron (MLP) Model · Sankore