1. Home
  2. Issues
  3. Volume 19, Issue 3 (2008)
  4. An Efficient Technique to Detect Visual ...

Informatica


Cited by 6
An Efficient Technique to Detect Visual Defects in Particleboards

2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)
Pitcha Prasitmeeboon, Henry Yau
https://doi.org/10.1109/ICEAST.2019.8802526
Conference  (2019), p. 1
A Framework for Designing a Fuzzy Rule-Based Classifier
Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene
https://doi.org/10.1007/978-3-642-04428-1_38
Book  Lecture Notes in Computer Science (Algorithmic Decision Theory) Volume 5783 (2009), p. 434
A general framework for designing a fuzzy rule-based classifier
Antanas Verikas, Jonas Guzaitis, Adas Gelzinis, Marija Bacauskiene
https://doi.org/10.1007/s10115-010-0340-x
Journal  Knowledge and Information Systems Volume 29, Issue 1 (2011), p. 203
A supervised approach to automatic density and foreign-object detection in particleboard paving quality control
Jie Yan, Chunmei Yang, Tao Zhang, Bo Xue, Wen Qu
https://doi.org/10.1080/17480272.2024.2319663
Journal  Wood Material Science & Engineering Volume 19, Issue 6 (2024), p. 1314
Application of a Hybrid 3D-2D Laser Scanning System to the Characterization of Slate Slabs
Marcos López, Javier Martínez, José María Matías, José Antonio Vilán, Javier Taboada
https://doi.org/10.3390/s100605949
Journal  Sensors Volume 10, Issue 6 (2010), p. 5949
SFNet for Surface Weak Defect Recognition in Particleboard
Haiyan Zhou, Qing Guo, Yang Gao, Lintao Huo, Ying Liu, Bin Wu, Haifei Xia, Yutu Yang
https://doi.org/10.3390/f17101170
Journal  Forests Volume 17, Issue 10 (2026), p. 1170


Share


RSS