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Keywords: machine learning
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Journal Articles
Mohamadali Tofigh, Masood Fakouri Hasanabadi, Daniel Smith, Ali Kharazmi, Amir Reza Hanifi, Charles R. Koch, Mahdi Shahbakhti
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. March 2025, 147(2): 021006.
Paper No: DS-24-1150
Published Online: September 10, 2024
...-Enabled Learning of Inverse Operators? ,” ASME J. Dyn. Syst., Meas., Control ,
146 ( 3 ), p. 18 . 10.1115/1.4064655 [19]
Chiuso ,
A.
, and
Pillonetto ,
G.
, 2019 , “
System Identification: A Machine Learning Perspective ,” Annu. Rev. Control, Rob., Auton. Syst. ,
2 ( 1 ), pp...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. December 2021, 143(12): 121006.
Paper No: DS-20-1489
Published Online: September 15, 2021
... and dimensions are highly correlated with porosity and defects in the fabricated parts, it is crucial to predict how process parameters would affect the melt-pool size and dimensions during the build process to ensure the build quality. This paper presents a two-level machine-learning (ML) model to predict...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. October 2020, 142(10): 101002.
Paper No: DS-18-1268
Published Online: June 1, 2020
...-mail: y.p.zhao@163.com e-mail: 1767363682@qq.com e-mail: bhhaoz@126.com e-mail: 909818346@qq.com e-mail: yangzhe422@126.com e-mail: 792802475@qq.com 04 06 2018 04 02 2020 01 06 2020 machine learning extreme learning machine class imbalance learning fault detection...