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Autoencoder-Blockage-Detection
Autoencoder-Blockage-Detection PublicWe utilized an autoencoder-based anomaly detection technique to compress the dataset into a latent space with a reduced dimension (32-dimensional) compared to the original data (1500-dimensional).
Jupyter Notebook 1
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Autoencoder-Micromobility-Detection
Autoencoder-Micromobility-Detection PublicWe utilized an autoencoder-based anomaly detection technique to compress the dataset into a latent space with a reduced dimension (64-dimensional) compared to the original data (15000-dimensional).
Jupyter Notebook
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Micromobility-Blockage-Detection
Micromobility-Blockage-Detection PublicIn depth analysis of 6G network to identify the type of application utilized at the user side without explicit signaling
Mathematica 1
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