Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Safdar, Mutahar"'
Various machine learning (ML)-based in-situ monitoring systems have been developed to detect laser additive manufacturing (LAM) process anomalies and defects. Multimodal fusion can improve in-situ monitoring performance by acquiring and integrating d
Externí odkaz:
http://arxiv.org/abs/2408.05307
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts t
Externí odkaz:
http://arxiv.org/abs/2407.18827
Autor:
Xie, Jiarui, Safdar, Mutahar, Mircea, Andrei, Lu, Yan, Ko, Hyunwoong, Yang, Zhuo, Zhao, Yaoyao Fiona
Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in-process data acquired using sensors can be used to train ML models that detect process anomalie
Externí odkaz:
http://arxiv.org/abs/2407.04031
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts t
Externí odkaz:
http://arxiv.org/abs/2309.06286
Autor:
Cherif, Lynn, Safdar, Mutahar, Lamouche, Guy, Wanjara, Priti, Paul, Padma, Wood, Gentry, Zimmermann, Max, Hannesen, Florian, Zhao, Yaoyao Fiona
Recent applications of machine learning in metal additive manufacturing (MAM) have demonstrated significant potential in addressing critical barriers to the widespread adoption of MAM technology. Recent research in this field emphasizes the importanc
Externí odkaz:
http://arxiv.org/abs/2308.14861
Autor:
Safdar, Mutahar, Li, Yi Fan, El Haddad, Randy, Zimmermann, Max, Wood, Gentry, Lamouche, Guy, Wanjara, Priti, Zhao, Yaoyao Fiona
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
Publikováno v:
International Journal of Production Research; Jun2024, Vol. 62 Issue 12, p4181-4201, 21p
Autor:
Safdar, Mutahar, Paul, Padma Polash, Lamouche, Guy, Wood, Gentry, Zimmermann, Max, Hannesen, Florian, Bescond, Christophe, Wanjara, Priti, Zhao, Yaoyao Fiona
Publikováno v:
In Computers in Industry January 2024 154
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