Abstract: This paper proposes a convolutional neural network (CNN)-based encoder model to compress and code speech signal ... the original speech signal in high quality using the CNN decoder. This ...

Hence, this paper proposed effective Voting-based Stacked Denoising Auto-encoder (VSDA) for the prediction of diseases. The VADA model uses the stacked model within the Auto-encoder for the accurate ...

PhysioFuseNet integrates a CNN-based encoder-decoder model with multimodal biosignal fusion. Using a driving simulator, different multimodal signals were acquired, namely electrocardiography, ...

As studied in the original paper (13), ViT required over 303 million images for pre-training before it was able to beat the most superior CNN in ... The same encoder-decoder architecture highlighting ...

A dataset comprising 55,500 samples and 37 classes were used to train the proposed Convolutional Neural Networkmodel(CNN) to recognize 37 classes for.The model contains three convolutional layers and ...