This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Clone this repository to your local machine or cloud service using the following command: To provide a comprehensive overview of the dataset generation process used in your project, it's important to ...
Abstract: Convolutional neural networks (CNNs) show promise for signal denoising but can introduce harmonic distortions due to their nonlinearity. This paper introduces a comprehensive evaluation ...
Causal analysis enhanced stacked denoising autoencoder for closed-loop industrial process monitoring
Abstract: As a crucial tool to ensure the safety of industrial processes, process monitoring technology has recently attracted more and more attention. Due to the complexity between industrial process ...
This project focuses on enhancing brain CT scans by reducing acquisition noise using a CNN-based autoencoder, followed by tumor detection on the refined images. The workflow ensures that critical ...
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