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In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
To further assess the performance of these methods on both In-Distribution (ID) and Out-of-Distribution (OOD) ECG data, we conduct cross-dataset training and testing experiments.
Analysis of Augmentations for Contrastive ECG Representation Learning
For instance, when adding Gaussian noise, a sigma in the range of 0. 1 to 0. 2 achieves better results, while poor training occurs when the added noise is too small or too large (outside of the specified range).
Aerosol generation in public restrooms
Aerosolized droplets play a central role in the transmission of various infectious diseases, including Legionnaire's disease, gastroenteritis-causing norovirus, and most recently COVID-19.
Fluid Dynamics Populations and Evolution
