A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling

arXiv:2404.05976v1 Announce Type: new
Abstract: Machine Learning (ML) has been demonstrated to improve productivity in many manufacturing applications. To host these ML applications, several software and Industrial Internet of Things (IIoT) systems have been proposed for manufacturing applications to deploy ML applications and provide real-time intelligence. Recently, an interactive causality enabled self-labeling method has been proposed to advance adaptive ML applications in cyber-physical systems, especially manufacturing, by automatically adapting and personalizing ML models after deployment to counter data distribution shifts. …

abstract applications arxiv causality cs.lg cs.sy cyber deploy deployment eess.sy iiot industrial industrial internet of things interactive internet internet of things iot labeling machine machine learning machine learning model manufacturing ml applications model deployment productivity software stat.me systems type