Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra-Reference-Cited by-同舟云学术

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Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra

Published:2019-08 Issue: Volume:191 Page:109-117
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Zheng Kaiyi,Feng Tao,Zhang Wen,Huang Xiaowei,Li Zhihua,Zhang Di,Yao Yuan,Zou Xiaobo

Funder

National Natural Science Foundation of China

The Foundation of Jiangsu University

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference42 articles.

1. A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics;Vitale;Chemometr. Intell. Lab. Syst.,2013

2. Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf;Yu;Chemometr. Intell. Lab. Syst.,2018

3. Recognition of the hardness of licorice seeds using a semi-supervised learning method and near-infrared spectral data;Yang;Chemometr. Intell. Lab. Syst.,2012

4. Unveiling multiple solid-state transitions in pharmaceutical solid dosage forms using multi-series hyperspectral imaging and different curve resolution approaches;Alexandrino;Chemometr. Intell. Lab. Syst.,2017

5. Quantitative analysis of piroxicam polymorphs pharmaceutical mixtures by hyperspectral imaging and chemometrics;Fortunato de Carvalho Rocha;Chemometr. Intell. Lab. Syst.,2011

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5. Detection of Soluble Solids Content (SSC) in Pears Using Near-Infrared Spectroscopy Combined with LASSO–GWF–PLS Model;Agriculture;2023-07-27

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