Combining an Electronic Nose System with Artificial Intelligence Methods for Odor Identification of Spirits
Author:
Affiliation:
1. National University of Kaohsiung of Science and Technology,Department of Electrical Engineering,Kaohsiung,Taiwan,807
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10547719/10547721/10547960.pdf?arnumber=10547960
Reference5 articles.
1. Optimization and validation of a head space solid-phase microextraction-arrow gas chromatography-mass spectrometry method using central composite design for determination of aroma compounds in Chinese liquor (Baijiu)
2. Optimization and Validation of a Headspace Solid-Phase Microextraction with Comprehensive Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometric Detection for Quantification of Trace Aroma Compounds in Chinese Liquor (Baijiu)
3. Non-Destructive and Non-Invasive Measurement of Ethanol and Toxic Alcohol Strengths in Beverages and Spirits Using Portable Raman Spectroscopy
4. Rapid and simultaneous quantitative and discriminative analyses of liquor quality parameters with machine learning-assisted batch Raman spectroscopy: Synergistic instrumental upgrade and chemometric optimization
5. An Incremental Learning Method for Preserving World Coffee Aromas by Using an Electronic Nose and Accumulated Specialty Coffee Datasets
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