Machine Learning Methods of Regression for Plasmonic Nanoantenna Glucose Sensing

The measurement and quantification of glucose concentrations is a field of major interest, whether motivated by potential clinical applications or as a prime example of biosensing in basic research. In recent years, optical sensing methods have emerged as promising glucose measurement techniques in...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 1; s. 7
Hlavní autoři:	Corcione, Emilio, Pfezer, Diana, Hentschel, Mario, Giessen, Harald, Tarín, Cristina
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 21.12.2021 MDPI
Témata:	Algorithms Aqueous solutions artificial neural network Fructose Glucose glucose sensing Inverse problems Machine Learning Parameter identification Physical properties Process controls Regression analysis sensor calibration Sensors Spectrophotometry, Infrared Spectrum analysis surface-enhanced infrared absorption spectroscopy artificial neural network surface-enhanced infrared absorption spectroscopy regression analysis Gaussian process regression machine learning glucose sensing sensor calibration
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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