Cargando…
Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks
Fused deposition modeling (FDM) is a form of additive manufacturing where three-dimensional (3D) models are created by depositing melted thermoplastic polymer filaments in layers. Although FDM is a mature process, defects can occur during printing. Therefore, an image-based quality inspection method...
Autores principales: | Yang, Cheng-Jung, Huang, Wei-Kai, Lin, Keng-Pei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824655/ https://www.ncbi.nlm.nih.gov/pubmed/36617085 http://dx.doi.org/10.3390/s23010491 |
Ejemplares similares
-
Preservation of Autologous Brachiocephalic Vessels with Assistance of Three-Dimensional Printing Based on Convolutional Neural Networks
por: Yan, Yu, et al.
Publicado: (2022) -
A Compact Convolutional Neural Network for Surface Defect Inspection
por: Huang, Yibin, et al.
Publicado: (2020) -
Robust Powerline Equipment Inspection System Based on a Convolutional Neural Network
por: Siddiqui, Zahid Ali, et al.
Publicado: (2018) -
Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection
por: Ho, Chao-Ching, et al.
Publicado: (2021) -
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
por: Moldovan, Adrian, et al.
Publicado: (2021)