Effect of wood surface roughness on prediction of structural timber properties by infrared spectroscopy using ANFIS, ANN and PLS regression
Predicting the properties of structural timber using a rapid and reliable non-destructive
method is a critical quality control task in production. This study investigates using infrared …
method is a critical quality control task in production. This study investigates using infrared …
Prediction of mechanical properties of artificially weathered wood by color change and machine learning
Color parameters were used in this study to develop a machine learning model for
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood …
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood …
Predicting moisture content in kiln dried timbers using machine learning
The uniformity of final moisture content within a drying timber batch is crucial. Lack of such
uniformity leads to undesirable moisture ranges, thus producing large percentages of over …
uniformity leads to undesirable moisture ranges, thus producing large percentages of over …
Wood moisture monitoring and classification in kiln‐dried timber
Different mass timber structures require a specific range of wood moisture. Thus, moisture
monitoring is a crucial quality control task during timber drying that impacts the properties …
monitoring is a crucial quality control task during timber drying that impacts the properties …
A comparative study on the performance of terahertz, near-infrared, and hyperspectral spectroscopy for wood identification
Y Wang, Y He, R Qu, S Avramidis - Wood Material Science & …, 2024 - Taylor & Francis
Wood species identification is of paramount significance in wood products manufacturing
and applications. In contrast to traditional wood identification methods, spectroscopy-based …
and applications. In contrast to traditional wood identification methods, spectroscopy-based …
Benchmarking moisture prediction in kiln-dried Pacific Coast hemlock wood
The uniformity of final moisture content within a drying timber batch is crucial. Lack of such
uniformity leads to producing large percentages of over-dried and under-dried timber …
uniformity leads to producing large percentages of over-dried and under-dried timber …
Wood-species identification based on terahertz spectral data augmentation and pseudo-label guided deep clustering
Y Wang, ZG Wang, YH He… - Wood Material Science & …, 2024 - Taylor & Francis
In order to address the problem that existing methods combining spectral data and machine
learning for wood species identification rely on labeled samples, this study introduces …
learning for wood species identification rely on labeled samples, this study introduces …
Wood Species Recognition Based on Visible and Near‐Infrared Spectral Analysis Using Fuzzy Reasoning and Decision‐Level Fusion
P Zhao, ZY Li, CK Wang - Journal of Spectroscopy, 2021 - Wiley Online Library
A novel wood species spectral classification scheme is proposed based on a fuzzy rule
classifier. The visible/near‐infrared (VIS/NIR) spectral reflectance curve of a wood sample's …
classifier. The visible/near‐infrared (VIS/NIR) spectral reflectance curve of a wood sample's …
Metabolite profiling reveals complex relationship between develo** xylem metabolism and intra-ring checking in Pinus radiata
Globally, there has been an increasing amount of wood harvested from younger, fast-
growing trees derived from plantation forests. As a consequence, producers and industrial …
growing trees derived from plantation forests. As a consequence, producers and industrial …
Identification of wood species and duration of exposure in weathered wood using guided wave propagation
Nondestructive health monitoring of weathered timber structures in outdoor applications is a
critical safety and quality control task. This study proposes a guided Lamb wave propagation …
critical safety and quality control task. This study proposes a guided Lamb wave propagation …