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.
Abstract: Automatic assessment of dysarthria remains a highly challenging task due to the high heterogeneity in acoustic signals and the limited data. Currently, research on the automatic assessment ...
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