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Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly
  Detection in Edge Device Industrial Internet of Things

Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things

18 December 2017
Dohyung Kim
Hyochang Yang
Minki Chung
Sungzoon Cho
    DRL
ArXivPDFHTML

Papers citing "Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things"

1 / 1 papers shown
Title
VARADE: a Variational-based AutoRegressive model for Anomaly Detection
  on the Edge
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
Alessio Mascolini
Sebastiano Gaiardelli
Francesco Ponzio
Nicola Dall’Ora
Enrico Macii
Sara Vinco
S. D. Cataldo
Franco Fummi
DRL
38
0
0
23 Sep 2024
1