Generative adversarial networks with adaboost ensemble learning for anomaly detection in high-speed train automatic doors

HIGHLIGHTS

• who: Mingjing Xu and collaborators from the (UNIVERSITY) have published the research: Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors, in the Journal: (JOURNAL) of 12,/Dec/2022
• what: In this context, the objective of this work is to develop a methodology for detecting anomalies in components behaviour using measurements collected from components of critical systems of transportation systems. To this aim, the authors develop an Auto-Encoder aided GAN (AE-GAN) which allow associating an anomaly score to the multidimensional signal time series. For obtaining the . . .
  

   

  

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