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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.

Modeling of structural features from aeromagnetic maps using an improved deep learning technique

2022Earth Science InformaticsJournal

10.1007/s12145-022-00870-z Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

O.S. OgungbemiFirst author
- Afe Babalola University (NG)
as printed: Oluwaseun Samuel Ogungbemi
Kazeem Oyebode
- Pan-Atlantic University (NG)
Ganiyu Olabode BadmusCorresponding
- Afe Babalola University (NG)
A.T. OgunyemiSenior author
- Afe Babalola University (NG)
as printed: Adebayo Tajudeen Ogunyemi

Fields

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

Geochemistry and Geologic Mappinglevel 3 · 1.00
Geophysical and Geoelectrical Methodslevel 3 · 1.00
Image Processing and 3D Reconstructionlevel 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
2022 · Earth Science Informatics · 0 citations
https://openalex.org/W4307062152

Modeling of structural features from aeromagnetic maps using an improved deep learning technique · Sankore