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Predictive Modeling for Degree of Substitution of Cellulose Acetate using Infrared Spectroscopy and Machine Learning

  • Published:2023-10-30 Issue:5 Volume:55 Page:83-95
  • ISSN:0253-3200
  • Container-title:Journal of Korea Technical Association of The Pulp and Paper Industry
  • language:en
  • Short-container-title:J. of Korea TAPPI

Author:

Lee Yong Ju1,Lee Ji Eun2,Gwon Jae Gyoung2,Lee Tai Ju2,Kim Hyoung Jin3

Affiliation:

1. Department of Forest Products and Biotechnology, Kookmin University, Graduate Student

2. Division of Forest Industrial Materials, Department of Forest Products and Industry, National Institute of Forest Science

3. Department of Forest Products and Biotechnology, Kookmin University, Professor

Publisher

Korea Technical Association of the Pulp and Paper Industry

Subject

Media Technology,General Materials Science,General Chemistry

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Dimensionality Reduction Modeling for Analyzing Aging Characteristics of Hanji;Journal of Korea Technical Association of The Pulp and Paper Industry;2023-12-30
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