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Toward Enabling a Reliable Quality Monitoring System for Additive
  Manufacturing Process using Deep Convolutional Neural Networks

Toward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks

6 March 2020
Y. Banadaki
Nariman Razaviarab
H. Fekrmandi
S. Sharifi
ArXiv (abs)PDFHTML

Papers citing "Toward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks"

4 / 4 papers shown
Title
Advancing Additive Manufacturing through Deep Learning: A Comprehensive
  Review of Current Progress and Future Challenges
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
Amirul Islam Saimon
Emmanuel Yangue
Xiaowei Yue
Zhenyu Kong
Chenang Liu
AI4CE
84
7
0
01 Mar 2024
Anomaly Detection in Additive Manufacturing Processes using Supervised
  Classification with Imbalanced Sensor Data based on Generative Adversarial
  Network
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network
Jihoon Chung
Bo Shen
Zhenyu
Zhen Kong
AI4CE
46
24
0
28 Oct 2022
Synthetic-to-real Composite Semantic Segmentation in Additive
  Manufacturing
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing
Aliaksei L. Petsiuk
Harnoor Singh
Himanshu Dadhwal
Joshua M. Pearce
80
5
0
14 Oct 2022
3D-EDM: Early Detection Model for 3D-Printer Faults
3D-EDM: Early Detection Model for 3D-Printer Faults
Harim Jeong
Joo Hun Yoo
8
2
0
23 Mar 2022
1