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- W2748654787 abstract "A multi-element arbitrary polynomial chaos (ME-aPC) scheme is introduced for uncertainty quantification in sensors. Similar to the classical aPC, the ME-aPC scheme is most usable in data-driven applications, in which the input uncertainty is represented numerically by raw data samples. In sensors, the input samples are usually obtained by real-time measurements. With the two examples considered in this paper, the proposed scheme is shown to have better numerical stability than the classical aPC, without compromising the accuracy of the solutions." @default.
- W2748654787 created "2017-08-31" @default.
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- W2748654787 date "2018-03-01" @default.
- W2748654787 modified "2023-09-23" @default.
- W2748654787 title "Data-Driven Multi-Element Arbitrary Polynomial Chaos for Uncertainty Quantification in Sensors" @default.
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- W2748654787 doi "https://doi.org/10.1109/tmag.2017.2741519" @default.
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