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) …
nondestructive testing methods are critical tasks. This study used near-infrared (NIR) …
Stiffness and hardness of thermally modified timber assessed with explainable machine learning
Thermal modification is an environmentally friendly practice to enhance the durability of
wood. Despite the method's effectiveness in improving wood durability and dimensional …
wood. Despite the method's effectiveness in improving wood durability and dimensional …
Machine learning-based non-destructive testing model for high precision and stable evaluation of mechanical properties in bamboo-wood composites
B Wang, S Nong, L Pan, G You, Z Li, J Sun… - European Journal of …, 2024 - Springer
The efficient evaluation of mechanical performance of bamboo-wood composites (BWCs) is
an important part for their development and application. To address the issues of low …
an important part for their development and application. To address the issues of low …
Impact of surface quality on the identification of tropical wood species using benchtop and portable NIR instruments
S Huancas, DT Medeiros, TL Dias, CH Madeira… - 2024 - researchsquare.com
Near-infrared (NIR) spectroscopy combined with multivariate analysis has proven to be a
fast and efficient method for identifying wood species. Despite significant technical advances …
fast and efficient method for identifying wood species. Despite significant technical advances …