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Algorithms and Implementation for Segmenting Tree Log Surface Defects.

, , , , , and . RRPR@ICPR, volume 10214 of Lecture Notes in Computer Science, page 150-166. (2016)

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Development of 6DOF nano-precision stewart platform for nano-milling application., , and . ROBIO, page 1892-1897. IEEE, (2014)Algorithms and Implementation for Segmenting Tree Log Surface Defects., , , , , and . RRPR@ICPR, volume 10214 of Lecture Notes in Computer Science, page 150-166. (2016)Tree Defect Segmentation Using Geometric Features and CNN., , , , , and . RRPR, volume 12636 of Lecture Notes in Computer Science, page 80-100. Springer, (2021)Segmentation of defects on log surface from terrestrial lidar data., , , , , and . ICPR, page 3168-3173. IEEE, (2016)CNN-based Method for Segmenting Tree Bark Surface Singularites., , , , , and . Image Process. Line, (2022)Estimation de la qualité de bois ronds et d'arbres sur pied par Lidar terrestre. (Assessment of roundwood and tree quality from terrestrial Lidar data).. Agro ParisTech, Nancy, France, (2018)Integration of Emotion in Evacuation Simulation., , , and . ISCRAM-med, volume 196 of Lecture Notes in Business Information Processing, page 192-205. Springer, (2014)A Robust TCP-SYN Flood Mitigation Scheme Using Machine Learning Based on SDN., , , , , and . ICTC, page 363-368. IEEE, (2019)A machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR., , , , and . Comput. Electron. Agric., (2020)Adversarial AutoEncoder and Generative Adversarial Networks for Semi-Supervised Learning Intrusion Detection System., , , , , and . RIVF, page 584-589. IEEE, (2022)