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ETHNOS_APP

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Changchun Lu

Dados Biográficos

ID10030706
NOMEChangchun Lu
PRENOMESChangchun
SOBRENOMELu
ASSINATURALU C
AFILIAÇÕESLeshan Normal University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring

    Changchun Lu, Han Ruijuan

    Introduction: The integration of Artificial Intelligence (AI) into educational environments is revolutionizing action recognition, offering a transformative opportunity to enhance public health monitoring. Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. These limitations hinder their effectiveness, particularly…

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  • Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring

    Changchun Lu, Han Ruijuan

    Introduction: The integration of Artificial Intelligence (AI) into educational environments is revolutionizing action recognition, offering a transformative opportunity to enhance public health monitoring. Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. These limitations hinder their effectiveness, particularly…

Adaptability (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Computer security (1 obra) · Context-Aware Activity Recognition Systems (1 obra) · Human Pose and Action Recognition (1 obra) · Human–computer interaction (1 obra) · Intelligent Tutoring Systems and Adaptive Learning (1 obra) · Knowledge management (1 obra) · Machine learning (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae