Bioinformatics | Biology | Wood Science Segmentation and characterization of macerated fibers and vessels using deep learning. August 14, 2024
Forestry | Machine Learning | Wood Science Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction. March 28, 2024
Computer Vision | Machine Learning | Wood Science A Multi-Source Data Fusion Network for Wood Surface Broken Defect Segmentation. March 13, 2024
Botany | Machine Learning | Wood Science Open-Set Recognition of Wood Species Based on Deep Learning Feature Extraction Using Leaves. August 25, 2023
Forestry | Machine Learning | Wood Science Wood identification of (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models. July 24, 2023
Wood Science Prediction approach of larch wood density from visible-near-infrared spectroscopy based on parameter calibrating and transfer learning. October 22, 2022
Botany | Wood Science Improved wood species identification based on multi-view imagery of the three anatomical planes. June 11, 2022
Forestry | Wood Science Towards Sustainable North American Wood Product Value Chains, Part I: Computer Vision Identification of Diffuse Porous Hardwoods. February 7, 2022
Botany | Wood Science Creating High-Resolution Microscopic Cross-Section Images of Hardwood Species Using Generative Adversarial Networks. November 1, 2021
Computer Vision | Machine Learning | Wood Science A Sawn Timber Tree Species Recognition Method Based on AM-SPPResNet. June 2, 2021
Computer Science | Wood Science Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review. April 29, 2021
Computer Vision | Forestry | Wood Science Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks. October 7, 2019