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Zhengzhi Guo

Datos Biográficos

ID10055382
NOMBREZhengzhi Guo
NOMBRESZhengzhi
APELLIDOGuo
FIRMAGUO Z
AFILIACIONESBeijing University of Posts and Telecommunications
ORCID0009-0006-8040-3572
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Transformer-Based Anomaly Detection With Distributed Fiber-Optic Intelligence in End-Edge-Cloud Systems

    Song Wang, Zhengzhi Guo et al.

    Cyber–physical–social systems (CPSSs) emerged as a novel paradigm addressing the growing interactions among physical, social, and cyber domains. Many CPSS challenges were mathematically modeled as optimization problems, with a significant portion requiring multiobjective optimization approaches. To address inefficient learning caused by large-scale distributed sensor data in CPSS, a transformer-based anomaly detection framework for end-edge-cloud…

Sin obras prominentes en esta página.

  • Transformer-Based Anomaly Detection With Distributed Fiber-Optic Intelligence in End-Edge-Cloud Systems

    Song Wang, Zhengzhi Guo et al.

    Cyber–physical–social systems (CPSSs) emerged as a novel paradigm addressing the growing interactions among physical, social, and cyber domains. Many CPSS challenges were mathematically modeled as optimization problems, with a significant portion requiring multiobjective optimization approaches. To address inefficient learning caused by large-scale distributed sensor data in CPSS, a transformer-based anomaly detection framework for end-edge-cloud…

Anomaly detection (1 obra) · Anomaly Detection Techniques and Applications (1 obra) · Computational intelligence (1 obra) · Edge computing (1 obra) · Intrusion detection system (1 obra) · IoT and Edge/Fog Computing (1 obra) · Software System Performance and Reliability (1 obra) · Task Analysis (1 obra) · Transformer (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae