Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, ...
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 ...
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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly being diagnosed in young adults and is associated with long-term hepatic complications. Early detection ...
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