Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...

Abstract: This article addresses the interference suppression problem in frequency-modulated continuous-wave radars. We propose an unsupervised learning framework based on an autoencoder architecture, ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

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