Sarah Cousineau

According to our database, Sarah Cousineau authored at least 6 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions.

Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave

CoRR, 2023

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, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2023

2022

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders.

Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau

Digit. Signal Process., 2022

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning.

Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2022

Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions.

Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau

CoRR, 2022

2015

The Particle Accelerator Simulation Code PyORBIT.

Andrei Shishlo, Sarah Cousineau, Jeffrey Holmes, Timofey Gorlov

Proceedings of the International Conference on Computational Science, 2015