Time-Series to Image-Transformed Adversarial Autoencoder for Anomaly Detection

Time-Series to Image-Transformed Adversarial Autoencoder for Anomaly Detection

The automation of systems and the accelerated digital transformations across various industries have rendered the manual monitoring of systems difficult. Therefore, the automatic detection of system anomalies is essential in diverse industries. Various deep learning-based techniques have been develo...

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Bibliographic Details
Main Authors: Jiyoung Kang, Minseok Kim, Jinuk Park, Sanghyun Park
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
unsupervised learning
multivariate time-series data
image transformation
Online Access:https://ieeexplore.ieee.org/document/10649546/

Internet

https://ieeexplore.ieee.org/document/10649546/

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