IEEE

Machine Learning Pipeline for Power Electronics State of Health Assessment and Remaining Useful Life Prediction

Abstract: Power electronic devices are integral to numerous applications in modern technology. The non-linear degradation and subsequent abrupt failure of these devices demand regular State of Health ...
GitHub

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code

MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.
IEEE

Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion

Abstract: Deploying machine learning (ML) inference pipelines in databases become increasingly prevalent in many applications. In order to avoid data transfer between the database and ML runtimes, ...