Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays

Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays

Mixed-potential electrochemical sensor arrays consisting of indium tin oxide (ITO), La _0.87 Sr _0.13 CrO _3 , Au, and Pt electrodes can detect the leaks from natural gas infrastructure. Algorithms are needed to correctly identify natural gas sources from background natural and anthropogenic sources...

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Bibliographic Details
Main Authors: Neal Ma, Sleight Halley, Kannan Ramaiyan, Fernando Garzon, Lok-kun Tsui
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:ECS Sensors Plus
Online Access:https://doi.org/10.1149/2754-2726/acbe0c

Internet

https://doi.org/10.1149/2754-2726/acbe0c

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