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Author: Ohkyung Kwon

9 Articles are founded.

Development of a Computer Numerical Control (CNC)-Integrated Passive Autofocus for Continuous Wood Specimen Imaging Using Frequency-Domain Analysis
J. Korean Wood Sci. Technol. 2025;53(6):648-660.
https://doi.org/10.5658/WOOD.2025.53.6.648
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Applicability of Hydrogenated Castor Oil-Impregnated Wood as a Raw Material to Produce Shelters Used in Abalone Aquaculture
J. Korean Wood Sci. Technol. 2025;53(4):413-428.
https://doi.org/10.5658/WOOD.2025.53.4.413
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Mask Region-Based Convolutional Neural Network (R-CNN) Based Image Segmentation of Rays in Softwoods
J. Korean Wood Sci. Technol. 2022;50(6):490-498.
https://doi.org/10.5658/WOOD.2022.50.6.490
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Effect of Organic Solvent Extractives on Korean Softwoods Classification Using Near-infrared Spectroscopy
Journal of the Korean Wood Science and Technology 2019;47(4):509-518.
https://doi.org/10.5658/WOOD.2019.47.4.509
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Wood Species Classification Utilizing Ensembles of Convolutional Neural Networks Established by Near-Infrared Spectra and Images Acquired from Korean Softwood Lumber
Journal of the Korean Wood Science and Technology 2019;47(4):385-392.
https://doi.org/10.5658/WOOD.2019.47.4.385
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Performance Enhancement of Automatic Wood Classification of Korean Softwood by Ensembles of Convolutional Neural Networks
Journal of the Korean Wood Science and Technology 2019;47(3):265-276.
https://doi.org/10.5658/WOOD.2019.47.3.265
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Visual Classification of Wood Knots Using k-Nearest Neighbor and Convolutional Neural Network
Journal of the Korean Wood Science and Technology 2019;47(2):229-238.
https://doi.org/10.5658/WOOD.2019.47.2.229
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Soft Independent Modeling of Class Analogy for Classifying Lumber Species Using Their Near-infrared Spectra
Journal of the Korean Wood Science and Technology 2019;47(1):101-109.
https://doi.org/10.5658/WOOD.2019.47.1.101
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Automatic Wood Species Identification of Korean Softwood Based on Convolutional Neural Networks
Journal of the Korean Wood Science and Technology 2017;45(6):797-808.
https://doi.org/10.5658/WOOD.2017.45.6.797
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May, 2026
Vol. 54, No. 3

eISSN:2233-7180





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