Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...
Abstract: High-density surface electromyography (EMG) decomposition provides a valuable non-invasive approach to accessing key motor unit information for a range of applications. This communication ...
Department of Mechanical Engineering & Materials Science and Engineering Program, State University of New York at Binghamton, Binghamton, New York 13902, United States ...
The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...
Virumaa College School of Engineering, Tallinn University of Technology, Järveküla 75, Kohtla-Järve 30322, Estonia ...
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