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 ...

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 ...

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 ...

Abstract: This paper investigates the set-membership state estimation problem for a class of networked time-varying systems with multi-rate measurements over half-duplex relay communication networks.