One-Dimensional Convolutional Neural Networks with Infrared Spectroscopy for Classifying the Origin of Printing Paper

One-Dimensional Convolutional Neural Networks with Infrared Spectroscopy for Classifying the Origin of Printing Paper

Herein, the challenge of accurately classifying the manufacturing origin of printing paper, including continent, country, and specific product, was addressed. One-dimensional convolutional neural network (1D CNN) models trained on infrared (IR) spectrum data acquired from printing paper samples were...

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Bibliographic Details
Main Authors: Sung-Wook Hwang, Geunyong Park, Jinho Kim, Kwang-Ho Kang, Won-Hee Lee
Format: Article
Language:English
Published: North Carolina State University 2024-01-01
Series:BioResources
Subjects:
classification
convolutional neural network
printing paper
infrared spectroscopy
data point attribution
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/23074

Internet

https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/23074

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