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 ...

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 ...

Abstract: In this paper, an optimal predictor is designed for networked descriptor systems with multiple stochastic measurement delays under encoding-decoding strategy. The measurement delays ...

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 ...

[batched_model_kit][INFO]: Loading model from /Users/ilyabelyaev/.lmstudio/models/lmstudio-community/Qwen2.5-0.5B-Instruct-MLX-4bit ...