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This paper propose an improved method called the modified warm-up-free parallel window(PW) MAP decoding schemes to implement highly-parallel Turbo decoder architecture ... one for each constituent ...
utilizing an encoder-decoder architecture. The proposed framework begins with an advanced image enhancement algorithm designed to amplify the semantic content of low-brightness nighttime images.
One of the advancements is from data scientist Paril Ghori, who has effectively used an Autoencoder deep learning model to identify anomalies in residential furnaces. Utilizing cutting-edge machine ...
Recent advances in deep learning ... Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related features from SEEG ...
SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K ...
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