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eess.SP2024
Joint Channel Selection using FedDRL in V2X
Lorenzo Mancini, Safwan Labbi, Karim Abed Meraim +4
Vehicle-to-everything (V2X) communication technology is revolutionizing transportation by enabling interactions between vehicles, devices, and infrastructures. This connectivity en…
eess.SP2023
Bayesian ECG reconstruction using denoising diffusion generative models
Gabriel V. Cardoso, Lisa Bedin, Josselin Duchateau +2
In this work, we propose a denoising diffusion generative model (DDGM) trained with healthy electrocardiogram (ECG) data that focuses on ECG morphology and inter-lead dependence. O…