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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.

Gas-liquid vertical pipe flow patterns convolutional neural network classification using experimental advanced wire mesh sensor images

2022Journal of Natural Gas Science and EngineeringJournal

10.1016/j.jngse.2021.104406 Full text21 citations

Authors

7 authors across 4 institutions in 4 countries.

Eric Thompson BrantsonFirst authorCorresponding
- University of Mines and Technology (GH)
Mukhtar Abdulkadir
- Federal University of Technology Minna (NG)
Perpetual Hope Akwensi
Harrison Osei
- University of Mines and Technology (GH)
Titus Fiifi Appiah
- University of Mines and Technology (GH)
Konan Roger Assie
S.R. Surem SamuelSenior author
- University of Mines and Technology (GH)
as printed: Sibil Samuel

Fields

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

Fluid Dynamics and Mixinglevel 3 · 1.00
Flow Measurement and Analysislevel 3 · 1.00
Reservoir Engineering and Simulation Methodslevel 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 · Journal of Natural Gas Science and Engineering · 21 citations
https://openalex.org/W4205821411

Gas-liquid vertical pipe flow patterns convolutional neural network classification using experimental advanced wire mesh sensor images · Sankore