Meta-learning models with CSI preprocessing from WiFi NICs achieve high accuracy in people counting and localization across varying environments.
Mass ive MIMO channel prediction: Kalman filtering vs. machine learn ing
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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.