Abstract: Stacked autoencoders (SAEs) have been widely used in soft sensing of industrial process data. However, most of them extract features by minimizing the ...
Abstract: This study presents an advanced autoencoder model with skip connections designed to enhance the image fidelity quality. Traditional methods often face challenges in preserving ...
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