Výsledky vyhľadávania - deep conventional autoencoder (ConvAE)

ConvAE: A New Channel Autoencoder Based on Convolutional Layers and Residual Connections Autor Ji, Dong Jin, Park, Jinsol, Cho, Dong-Ho

“…In this letter, we propose ConvAE, a new channel autoencoder structure. ConvAE uses residual blocks with convolutional layers…”
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ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots for Error Resilient Operation Autor Ji, Dong Jin, Cho, Dong-Ho

“…Recent advancements in machine learning for communications show that channel autoencoders could revolutionize conventional communication systems through end-to-end optimization…”
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Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics Autor Yousefi, Bardia, Kawakita, Satoru, Amini, Arya, Akbari, Hamed, Advani, Shailesh M., Akhloufi, Moulay, Maldague, Xavier P. V., Ahadian, Samad

“… First, we used a 2D U-Net model to segment the lung lobes. Then, we extracted deep latent space radiomics by applying deep convolutional autoencoder (ConvAE…”
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