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Fish Disease Recognition Using CNN-OSELM by Priyanka Yadav is a document available to read on EtoBox.

This document presents a novel CNN-OSELM multi-layer fusion network with an attention mechanism designed for recognizing fish diseases in aquaculture, addressing challenges such as low-quality underwater images and the lack of public datasets. The proposed method achieves high classification performance with an accuracy of 94.28% by refining feature extraction through attention mechanisms and integrating features from various layers. The system is implemented using Python and Django, providing a framework f

Author

Priyanka Yadav

Language

EN