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Author

Ebru Ergün

2 papers indexed here

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Open access Aug 2026

SML-IS: a multi-scale annotation approach to improve instance segmentation accuracy

Instance segmentation requires precisely outlining object boundaries in images using polygonal masks. Conventional single-scale annotations often fail to represent multi-scale appearance variations, which limits segmentation accuracy and reduces the semantic richness available to learning algorithms. We introduce...

Adem Kosar, O. Korkmaz, Tolga Turay et al. · 0 citations
Open access Sep 2026

HYBRID DEEP LEARNING WITH PCA-OPTIMIZED FEATURE SELECTION IN EARLY-STAGE PAPAYA LEAF DISEASE DIAGNOSIS

Early detection of leaf diseases is essential to maintain crop health and improve agricultural yield. This study proposes an advanced system that uses artificial intelligence (AI) and principal component analysis (PCA) for efficient feature selection in papaya leaf disease classification. The system uses a combination...

Ebru Ergün · 0 citations

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