Variation in wood shrinkage evaluated by the eigenvalue distribution of the near infrared spectral matrix-Reference-Cited by-同舟云学术

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Variation in wood shrinkage evaluated by the eigenvalue distribution of the near infrared spectral matrix

Published:2020-07 Issue: Volume:109 Page:103091
ISSN:0924-2031
Container-title:Vibrational Spectroscopy
language:en
Short-container-title:Vibrational Spectroscopy

Author:

Tsutsumi Harusa,Haga Hirokazu,Fujimoto Takaaki

Publisher

Elsevier BV

Subject

Spectroscopy

Reference34 articles.

1. Wood Water Relation;Skaar,1988

2. Timber: Its Nature and Behavior;Dinwoodie,2000

3. Textbook of Wood Technology;Panshin,1970

4. The Anisotropic Shrinkage of Wood. A Theoretical Model

5. New Literature

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1. Effect of radial growth rate on wood properties variation of Sentang (Azadirachta excelsa) tree planted in Kelantan, Malaysia;BioResources;2023-06-01

2. Detecting the changes of wood properties with respect to elapsed years since wood formation by the eigenvalue distribution of near infrared spectral matrices;Journal of Wood Science;2023-01-12

3. Monitoring the physical state of wood during multiple tensile load-unload cycles by the eigenvalue distribution of near infrared spectra;Journal of Near Infrared Spectroscopy;2022-10-10

4. Experimental Study of Physical Properties and Impact Bending Strength of Clonal Eucalyptus Wood;International Journal of Thermophysics;2022-09-12

5. Evaluation of the age dependent variation of wood properties based on the eigenvalue distribution of near infrared spectral matrices;Chemometrics and Intelligent Laboratory Systems;2022-06

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