Quality Control of Thermally Modified Western Hemlock Wood Using Near-Infrared Spectroscopy and Explainable Machine Learning

The quality control of thermally modified wood and identifying heat treatment intensity using nondestructive testing methods are critical tasks. This study used near-infrared (NIR) spectroscopy and machine learning modeling to classify thermally modified wood. NIR spectra were collected from the sur...

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Detalles Bibliográficos
Autores principales: Nasir, Vahid, Schimleck, Laurence, Abdoli, Farshid, Rashidi, Maria, Sassani, Farrokh, Avramidis, Stavros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610413/
https://www.ncbi.nlm.nih.gov/pubmed/37896391
http://dx.doi.org/10.3390/polym15204147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610413/
https://www.ncbi.nlm.nih.gov/pubmed/37896391
http://dx.doi.org/10.3390/polym15204147

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