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 ...
Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...
Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...
The Locality-aware Parallel Decoding (LPD) project focuses on improving the efficiency of autoregressive image generation. By leveraging locality-aware techniques, we can significantly speed up the ...
Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
RTP payload packetization/depacketization(H.264 and VP8) Dynamic bitrate control Frame timestamp management Hardware acceleration support Thread-optimized encoding ...
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