Abstract: Fabric defect detection plays a crucial role in ensuring the quality of textiles, traditionally relying on manual inspection, which is time-consuming and error-prone. This study proposes an ...
Background: Mental health issues have become a significant global public health challenge. Traditional assessments rely on subjective methods with limited ecological validity. Passive sensing via ...
Abstract: Deep learning has significantly advanced speech enhancement (SE) by exploiting hierarchical representations to model complex speech patterns. However, deploying these models on ...
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