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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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A comparative case study on the impact of architecture, loss function, and augmentation on CNN robustness using the NEU-CLS dataset

2026The International Journal of Advanced Manufacturing TechnologyJournal

10.1007/s00170-026-17729-y Full text0 citations

Authors

2 authors across 2 institutions in 2 countries.

Adeleke Olorunnisola OyeyemiFirst authorCorresponding
- Federal University of Technology (NG)
as printed: Adeleke Olorunnisola
Oluwajire OluwatimilehinSenior authorCorresponding

Fields

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

Advanced Neural Network Applicationslevel 3 · 0.68
Adversarial Robustness in Machine Learninglevel 3 · 0.05
Generative Adversarial Networks and Image Synthesislevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · The International Journal of Advanced Manufacturing Technology · 0 citations
https://openalex.org/W7131072325

A comparative case study on the impact of architecture, loss function, and augmentation on CNN robustness using the NEU-CLS dataset · Sankore