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Generative AI-powered unsupervised anomaly detection in surveillance videos using deep autoencoder architectures (CAE, VAE, ConvLSTM-AE). Leverages reconstruction-based anomaly scoring, latent space learning, and spatio-temporal modeling on the UCSD Pedestrian Dataset. Built with PyTorch.
python generics lstm convolutional-neural-networks unsupervised-learning spatio-temporal variant-analysis pyt ano
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Jul 16, 2026 - Jupyter Notebook
why Individual Packet Features (IPF) should not be used for intrusion detection
iot security machine-learning attack network intrusion-detection anomalydetection cyber-security anomaly-detection ano
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Oct 23, 2024 - Jupyter Notebook
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Dec 7, 2023 - HTML
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