Meta-learning models with CSI preprocessing from WiFi NICs achieve high accuracy in people counting and localization across varying environments.
Hardware complexity analys is of deep neural networks and decision tree ensembles for real-time n eural data classification
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MAML-based predictor with DIP denoising improves massive MIMO channel prediction accuracy with small datasets, especially at low SNR.
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Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs
Meta-learning models with CSI preprocessing from WiFi NICs achieve high accuracy in people counting and localization across varying environments.
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Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
MAML-based predictor with DIP denoising improves massive MIMO channel prediction accuracy with small datasets, especially at low SNR.