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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.

Optimized Deep Learning-Based Image Compression Using Convolutional Autoencoders

2026International Journal of Computer Science and Engineering InnovationsJournalOpen access

10.64137/31079458/ijcsei-v2i1p106 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Oluborode Kayode OladipupoFirst author
- Modibbo Adama University of Technology (NG)
as printed: OLUBORODE KAYODE OLADIPUPO
Zayyanu Yunusa
- Modibbo Adama University of Technology (NG)
as printed: ZAYYANU YUNUSA
LAWAL SAIDI OLALEKAN
- Federal University of Technology (NG)
ABUBAKAR BELLOSenior author
- Modibbo Adama University of Technology (NG)

Fields

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

Advanced Data Compression Techniqueslevel 3 · 0.90
Video Coding and Compression Technologieslevel 3 · 0.02
Advanced Image Processing Techniqueslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Computer Science and Engineering Innovations · 0 citations
https://openalex.org/W7153204539

Optimized Deep Learning-Based Image Compression Using Convolutional Autoencoders · Sankore