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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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Comparative Analysis of Custom and Pre-Trained Convolutional Neural Networks (CNNs) for Object Recognition on the Cifar-10 Dataset

2026International journal of research and scientific innovationJournalOpen access

10.51244/ijrsi.2026.1306000253 Full text0 citations

Authors

6 authors across 4 institutions in 2 countries.

Oluwadamilare (Asabia) Joseph OmoniyiFirst author
- Babcock University (NG)
Omotosho Olawale Jacob
- Babcock University (NG)
Ajaegbu Chigozirim
- Babcock University (NG)
Raymond Osi Alenoghena
- Caleb University (NG)
Japinye Oluwaseun Abayomi
Aliu, Fatai OguntadeSenior author
- Yaba College of Technology (NG)
as printed: Fatai Oguntade Aliu

Fields

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

Advanced Neural Network Applicationslevel 3 · 0.62
Domain Adaptation and Few-Shot Learninglevel 3 · 0.06
Visual Attention and Saliency Detectionlevel 3 · 0.05

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 research and scientific innovation · 0 citations
https://openalex.org/W7167475037

Comparative Analysis of Custom and Pre-Trained Convolutional Neural Networks (CNNs) for Object Recognition on the Cifar-10 Dataset · Sankore