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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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Forecasting tropospheric wet delay using LSTM neural network

2022IOP Conference Series Earth and Environmental SciencePublicationOpen access

10.1088/1755-1315/993/1/012024 Full text4 citations

Authors

4 authors across 4 institutions in 2 countries.

Samuel OgunjoFirst authorCorresponding
- Federal University of Technology (NG)
as printed: S.T. Ogunjo
J.B. Dada
- Elizade University (NG)
J.B. Dada
- Elizade University (NG)
O.J. AjayiSenior author

Fields

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

Radio Wave Propagation Studieslevel 3 · 1.00
Power Line Communications and Noiselevel 3 · 1.00
Precipitation Measurement and Analysislevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · IOP Conference Series Earth and Environmental Science · 4 citations
https://openalex.org/W4220677671

Forecasting tropospheric wet delay using LSTM neural network · Sankore