Two dimensional correlation spectroscopy combined with ResNet: Efficient method to identify bolete species compared to traditional machine learning-Reference-Cited by-同舟云学术

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Two dimensional correlation spectroscopy combined with ResNet: Efficient method to identify bolete species compared to traditional machine learning

Published:2022-06 Issue: Volume:162 Page:113490
ISSN:0023-6438
Container-title:LWT
language:en
Short-container-title:LWT

Author:

Yan Ziyun,Liu Honggao,Li Tao,Li Jieqing,Wang Yuanzhong

Funder

National Natural Science Foundation of China

Yunnan Province Department of Education

Yunnan Provincial Science and Technology Department

Publisher

Elsevier BV

Subject

Food Science

Reference42 articles.

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2. Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection;Amirvaresi;Food Chemistry,2021

3. Combining SO-PLS and linear discriminant analysis for multi-block classification;Biancolillo;Chemometrics and Intelligent Laboratory Systems,2015

4. Recent applications of fourier transform infrared spectrophotometry in herbal medicine analysis;Bunaciu;Applied Spectroscopy Reviews,2011

5. A NIR spectroscopy-based efficient approach to detect fraudulent additions within mixtures of dried Porcini mushrooms;Casale;Talanta,2016

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