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IEEE/ICACT20250023 Slide.14        [Big Slide]       [YouTube]	Oral Presentation
	After analysis, we observed that Autoencoder detected eighty-six anomalies, showing good sensitivity to log variations and the ability to identify anomalies in reconstructed data. However, its performance is impacted by class imbalances, which can affect detection accuracy.

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