Chemiresistive Sensor Array and Machine Learning Classification of Food

Chemiresistive Sensor Array and Machine Learning Classification of Food

Successful identification of complex odors by sensor arrays remains a challenging problem. Herein, we report robust, category-specific multiclass-time series classification using an array of 20 carbon nanotube-based chemical sensors. We differentiate between samples of cheese, liquor, and edible oil...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Schroeder, Vera, Evans, Ethan Daniel, Wu, You-Chi Mason, Voll, Constantin-Chri Alexander, McDonald, Benjamin Rebbeck, Savagatrup, Suchol, Swager, Timothy M
Weitere Verfasser: Massachusetts Institute of Technology. Department of Chemistry
Format: Artikel
Sprache:English
Veröffentlicht: American Chemical Society (ACS) 2020
Online Zugang:https://hdl.handle.net/1721.1/128141

Online

https://hdl.handle.net/1721.1/128141

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