For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...
MONTREAL—Matrox Video will showcase how broadcasters and media organizations can evolve toward modern, software-defined infrastructures designed to enhance operational flexibility and efficiency ...
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 ...
This paper introduces a dual-pathway model for reconstructing naturalistic speech from intracranial ECoG data. It integrates an acoustic pathway (LSTM + HiFi-GAN for spectral detail) and a linguistic ...
In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...
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