운동하는 공대생

논문 https://arxiv.org/abs/1901.04997 MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks The prevalence of networked sensors and actuators in many real-world systems such as smart buildings, factories, power plants, and data centers generate substantial amounts of multivariate time series data for these systems. The rich sensor data can be con arxiv.o..