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Conferences > AIS > 2023 > AM4A > AM4A.1

Improving Detection of Fecal Contamination in Water Using Machine-Learning-Assisted Fluorescence Spectra Analysis

Rijan Maharjan, Nripesh Parajuli, Sishir Gautam, Suvechhya Bastola, Prashant Waiba, Anusa Thapa, Prajwal Rajbhandari, Thomas Krauss, and Ashim Dhakal

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Abstract

Spectral information from humic like-fluorescence, in addition to the spectra of tryptophan-like fluorescence, improve the Receiver Operating Characteristic for detection of fecal contamination in water. To demonstrate this, we apply the random forest algorithm to enhance specificity for detection of 1 CFU/100 ml of fecal coliforms by ~21%.

© 2023 The Author(s)

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