Non‐destructive prediction of total soluble solids and titratable acidity in Kyoho grape using hyperspectral imaging and deep learning algorithm

M Xu, J Sun, J Cheng, K Yao, X Wu… - International Journal of …, 2023 - Wiley Online Library
Total soluble solids (TSS) and titratable acidity (TA) are essential quality properties for
postharvest commercialisation of grapes. This study aimed to estimate the TSS and TA in …

Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea

H Li, P Wu, J Dai, T Pan, M Holmes, T Chen… - Journal of Food …, 2023 - Elsevier
The rich flavors and antioxidant properties within Maofeng tea are mainly attributable to
numerous secondary metabolites and thus may be related to quality. Motivated by this …

Enhanced 3-D asynchronous correlation data preprocessing method for Raman spectroscopy of Chinese handmade paper

C Yan, Z Cheng, L Cao, Y Wen - … Acta Part A: Molecular and Biomolecular …, 2024 - Elsevier
We have developed a novel 3D asynchronous correlation method (3D-ACM) designed for
the classification and identification of Chinese handmade paper samples using Raman …

Spectral intensity drift correction of Spark Mapping Analysis for large-size metal materials

X Zhang, Y Jia, Z Yang, L Sheng, L Yuan, Q Zhang… - Analytica Chimica …, 2024 - Elsevier
Background Spectral intensity drift is a frequent issue in analytical processes, especially in
long time excitation scanning for large size metal materials, which can significantly …

A three-stage deep learning-based training frame for spectra baseline correction

Q Jiao, B Cai, M Liu, L Dong, M Hei, L Kong… - Analytical …, 2024 - pubs.rsc.org
For spectrometers, baseline drift seriously affects the measurement and quantitative analysis
of spectral data. Deep learning has recently emerged as a powerful method for baseline …

[PDF][PDF] Molecular and Biomolecular Spectroscopy

C Yan, S Luo, L Cao, Z Cheng… - Spectrochimica Acta Part …, 2023 - researchgate.net
The paper introduces two new methods, namely the cross correlation method (CCM) and
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …

基于时频峰值的激光打靶数字延时信号滤波算法设计

介博 - LaserJournal, 2024 - opticsjournal.net
摘要在激光打靶数字延时信号处理中, 传统滤波算法往往难以有效滤除噪声干扰, 导致信号失真.
针对这一问题, 设计了基于时频峰值的激光打靶数字延时信号滤波算法. 计算激光打靶数字延时 …

[PDF][PDF] Gasoline Classification Using Untargeted Gc-Ms Data and Classification and Regression Tree (Cart) Algorithm for Forensic Investigation: Part I. Comparison of …

LC LEE, MG Md Ghazi, AS Samsudin… - … of Normalization, Peak … - papers.ssrn.com
In this paper, the relative merits of three classes of data preprocessing (DP) techniques that
are preferably applied in gas chromatography-mass spectrometry (GC-MS) data were …

Study on Drift Correction for Spark Mapping Analysis of Large-Size Metal Materials

X Zhang, Z Yang, L Sheng, L Yuan, Q Zhang… - Available at SSRN … - papers.ssrn.com
Instrument drift and measurement deviation arose by Spark Mapping Analysis for Large
Samples (SMALS) technique, which will affect the accuracy of the measurement results …