Abstract: To address the inadequate bit error rate (BER) performance of traditional Turbo decoding algorithms, we propose an adaptive prior-enhanced intelligent Turbo ...
Abstract: With the increasing number of patients with disorders of consciousness (DoC) in intensive care units (ICUs), traditional assessment methods face limitations in non-responsive or non-verbal ...
The final, formatted version of the article will be published soon. Background. Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where ...
The natural world is a rich source of inspiration for developing sophisticated computational systems, and the opposite is also true, with bioinformatics approaches providing keen insight into ...
Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
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