Abstract: This study introduces a novel deep learning architecture for automated sleep stage classification addressing the limitations of traditional methods which are often labor-intensive and ...
Microplastic Spectral Classification Using Deep Learning with Denoising and Dimensionality Reduction
Abstract: Microplastic pollution poses a significant environmental threat, especially in marine ecosystems. It is necessary to have advanced techniques for accurate identification and classification.
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