Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
Abstract: In this letter, a novel modal dissipating energy flow (MDEF) method is proposed for identifying hybrid oscillation sources in power systems. First, an equivalent linear model of the original ...
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