Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
Abstract: Recent progress in recognizing emotions through gait analysis has attracted substantial interest. Spatial temporal graph convolutional networks (ST-GCN) have been applied to extract gait ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Introduction: Parental autonomy support (PAS) has been identified as a key factor in shaping adolescents’ educational development, yet little research has examined how PAS predicts students’ future ...
FreqDGT is a novel deep learning framework for cross-subject EEG emotion recognition that addresses the fundamental challenges of individual variability and dynamic brain connectivity. Our model ...
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