This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Abstract: Cellular network operation strongly relies in the operator’s capacity to manage failures and optimize the networks for their efficient and proper functioning. For this, Machine Learning (ML) ...
Abstract: Predicting edge-side cellular network traffic stands as a pivotal facilitator for network automation in next-generation communication systems. However, the traffic data at the edge exhibits ...
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