Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
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Max pooling in CNNs explained for deep learning
In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
Abstract: Spatially coupled low-density parity-check convolutional codes (SC-LDPC-CCs) are a class of capacity approaching LDPC codes with low message recovery latency when a sliding window decoding ...
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