@inproceedings{2494b90c3e7e4815bc52bb4224cb8c72,
title = "Estimation of Parameter Variability for High Dimensional Microwave Problems via Partial Least Squares",
abstract = "This paper deals with the uncertainty quantification applied to the analysis of Wireless Power Transfer (WPT) efficiency. It considers the development of a surrogate model based on Partial Least Squares (PLS) Regression, in order to estimate statistical quantities of an output with relatively low computational cost in comparison with Monte Carlo (MC) simulation. The method is extendable to other microwave problems as well.",
author = "M. Larbi and Torun, {H. M.} and M. Swaminathan",
note = "Funding Information: ACKNOWLEDGMENT This material is based upon work supported by the National Science Foundation under Grant No. CNS 16-24810 -Center for Advanced Electronics through Machine Learning (CAEML). Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE MTT-S International Microwave Symposium, IMS 2019 ; Conference date: 02-06-2019 Through 07-06-2019",
year = "2019",
month = jun,
doi = "10.1109/mwsym.2019.8700749",
language = "English (US)",
series = "IEEE MTT-S International Microwave Symposium Digest",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "940--943",
booktitle = "2019 IEEE MTT-S International Microwave Symposium, IMS 2019",
address = "United States",
}