Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. - Majdi I. Radaideh; Chris Pappas; Mark Wezensky; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2022)

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. - Majdi I. Radaideh; Chris Pappas; Jared Walden; Dan Lu 001; Lasitha Vidyaratne; Thomas Britton; Kishansingh Rajput; Malachi Schram; Sarah Cousineau (Digit. Signal Process., 2022)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. - Steven Goldenberg; Malachi Schram; Kishansingh Rajput; Thomas Britton; Chris Pappas; Dan Lu 001; Jared Walden; Majdi I. Radaideh; Sarah Cousineau; Sudarshan Harave (Mach. Learn. Sci. Technol., 2024)