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• W1986842694 abstract "A sensor array comprising of three chemical gas sensors was evaluated to predict the concentrations of O2, CO, and CO2 in a gas stream with the sensors at 600 °C. The data analysis involved a non-linear multivariate regression method (kernel ridge regression, KRR) along with a searching algorithm to predict gas concentrations. The sensors in the array included a resistance-based 2% CuO/10% La2O3/TiO2 sensor, and two potentiometric sensors, including a yttria stabilized zirconia (YSZ) sensor with a metal/metal oxide internal reference electrode, and a lithium phosphate-based sensor. In addition, the possibility of using the KRR algorithm to predict gas concentrations beyond the training data is explored." @default.
• W1986842694 created "2016-06-24" @default.
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• W1986842694 date "2007-05-01" @default.
• W1986842694 modified "2023-10-13" @default.
• W1986842694 title "High temperature sensor array for simultaneous determination of O2, CO, and CO2 with kernel ridge regression data analysis" @default.
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• W1986842694 doi "https://doi.org/10.1016/j.snb.2006.11.009" @default.
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