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Kil-hwan Shin

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Open access Aug 2026

A Deep Residual Learning Framework using ResNet-152 for Accurate Multi-class Classification of Shrimp Diseases

Background: Shrimp aquaculture is a major contributor to global seafood production. Disease outbreaks remain a serious challenge, causing severe economic losses and threatening food security. Timely and accurate disease diagnosis is essential for effective farm management. However, conventional diagnostic methods are l...

Kil-hwan Shin · 0 citations

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