Deep‐learning assisted data augmentation of spectral data for the authentication and quality analysis of food products-Reference-Cited by-同舟云学术

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Deep‐learning assisted data augmentation of spectral data for the authentication and quality analysis of food products

Published:2022-09 Issue:S2 Volume:76 Page:
ISSN:0937-1478
Container-title:Lebensmittelchemie
language:en
Short-container-title:Lebensmittelchemie

Author:

Simon L.¹²,Rohn Sascha³,Weller Philipp¹

Affiliation:

1. Mannheim/D

2. Hochschule Mannheim Paul‐Wittsack‐Straße 10 68163 Mannheim

3. Berlin/D

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lemi.202259137

Reference3 articles.

1. Detection of adulteration of olive oil with seed oils by a combination of column and gas liquid chromatography

2. Geographical origin and authentication of extra virgin olive oils by an electronic nose in combination with artificial neural networks

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1. Novel non-invasive method for urine mapping: Deep-learning-enabled SERS spectroscopy for the rapid differential detection of kidney allograft injury;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-07

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