Application of Electronic Tongue Combined With Convolutional Autoencoder and a Self-Adaptive Attention Mechanism to Identify the Botanical Origins of Honey
Author:
Affiliation:
1. School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China
2. School of Agriculture Engineering and Food Science, Shandong University of Technology, Zibo, Shandong, China
Funder
Shandong Provincial Natural Science Foundation
Innovation Fund for Industry, University and Research of the Science and Technology Development Center of the Ministry of Education
Top Talents Program for One Case, One Discussion of Shandong Province, the National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10378722/10325435.pdf?arnumber=10325435
Reference42 articles.
1. Development of a remote electronic tongue system combined with the VMD-HT feature extraction method for honey botanical origin authentication
2. Classification of the botanical and geographical origins of Chinese honey based on 1H NMR profile with chemometrics
3. Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDs
4. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review
5. Droplet digital polymerase chain reaction (ddPCR) for rapid screening of adulterants in honey: A case study on acacia honey adulterated with canola honey
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