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Open access Sep 2026

Fresco Printing Defect Detection on Cylindrical Yarn Bobbins with Deep Learning and a New Image Dataset

The increased pace of production lines in Industry 4.0 has rendered manual quality control processes in the printing and packaging industries insufficient. Cylindrical yarn bobbins with fresco printing are particularly important for production tracking and logistics, especially in yarn winding technologies. Nevertheles...

Yavuz Canbay, A. Utku, İlhan Demirel et al. · 0 citations
Open access Sep 2026

Integrating Local and Global Feature Learning for Retinal Disease Detection: An EfficientNetB3-ViT Hybrid Model

Undiagnosed ocular conditions in initial phases can progressively impair vision, potentially leading to critical visual dysfunctions. Fundus imaging has enabled the identification of several retinal disorders, notably diabetic retinopathy, glaucoma, and age-related macular degeneration. However, manual evaluation of th...

Onur Ceylan, A. Utku · 0 citations

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