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- W3202034776 abstract "Microwave measurements and machine learning algorithms are presented to estimate metal ion concentrations in drinking water. A novel Block Loop Gap Resonator (BLGR) as a microwave probe is designed and fabricated to estimate Pb ion concentrations in city water as low as 1 ppb with an RMS error of 0.18 ppb. No physical contact between the BLGR probe and the water sample allows on-site/in-situ continuous detection of ppb-level metal ion concentrations. The S11 raw data (amplitude and phase) from the BLGR are used to classify and estimate metal ion concentrations using a support vector regression algorithm. The performance of the proposed method to estimate Pb concentrations in the presence of interfering metal ions (Cu2+, Fe3+, and Zn2+) is also evaluated, and it is found that the average measurement error remains less than 13%." @default.
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- W3202034776 date "2021-01-01" @default.
- W3202034776 modified "2023-09-30" @default.
- W3202034776 title "<i>On-Site/In Situ</i> Continuous Detecting ppb-Level Metal Ions in Drinking Water Using Block Loop-Gap Resonators and Machine Learning" @default.
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- W3202034776 doi "https://doi.org/10.1109/tim.2021.3115215" @default.
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