Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Methods: A Retrospective Cohort Study
Mary E. An, Paul M. Griffin, Jonathan G. Stine +2
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects 30-40% of US adults and is the most common chronic liver disease. Although often asymptomatic,…
cs.LG2024
Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
Ankur Verma, Seog-Chan Oh, Jorge Arinez +1
Manufacturing energy consumption data contains important process signatures required for operational visibility and diagnostics. These signatures may be of different temporal scale…