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Furthermore, the denoising autoencoder and generative vocoder are jointly fine-tuned. Experimental results show that the proposed method significantly improves speech intelligibility and perceptual ...

Finding target molecules with specific chemical properties plays a decisive role in drug development. We proposed GEOM-CVAE, a constrained variational autoencoder based on geometric representation for ...

To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...

GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal This paper introduces GeneA-SLAM2, an RGB-D SLAM system for ...