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IEEE/ICACT20250023 Slide.04        [Big Slide]       [YouTube]	Oral Presentation
	Deep learning models are used for their ability to extract complex features and capture temporal dependencies in Android logs. Autoencoders reduce dimensionality and reconstruct data to identify anomalies. CNNs extract local features from log sequences to detect unusual patterns. RNNs (LSTM) capture temporal dependencies, improving anomaly detection in event sequences.

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