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Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks.

P. Liang, H. Yang, W. Chen, S. Xiao, and Z. Lan. Int. J. Computer Integrated Manufacturing, 31 (4-5): 396-405 (2018)

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Dong-Yang Yang

Dong Yang

Dong-liang Yang

Dong-Yang Chung

Wei-Dong Yang

Other publications of authors with the same name

Adaptive convolution confidence sieve learning for surface defect detection under process uncertainty.L. Lei, H. Li, and H. Yang. Inf. Sci., (September 2023)A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model.Y. Zhou, B. Wang, H. Li, H. Yang, and Z. Liu. IEEE Trans. Ind. Informatics, 17 (9): 5909-5918 (2021)Abnormal Source Identification for Parabolic Distributed Parameter Systems.Y. Feng, H. Li, and H. Yang. IEEE Trans. Syst. Man Cybern. Syst., 51 (9): 5698-5707 (2021)Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks.P. Liang, H. Yang, W. Chen, S. Xiao, and Z. Lan. Int. J. Computer Integrated Manufacturing, 31 (4-5): 396-405 (2018)Approximate and branch-and-bound algorithms for the parallel machine scheduling problem with a single server.G. Liu, J. Li, H. Yang, and G. Huang. J. Oper. Res. Soc., 70 (9): 1554-1570 (2019)Local-Properties-Embedding-Based Nonlinear Spatiotemporal Modeling for Lithium-Ion Battery Thermal Process.K. Xu, H. Li, and H. Yang. IEEE Trans. Ind. Electron., 65 (12): 9767-9776 (2018)Kernel-Based Random Vector Functional-Link Network for Fast Learning of Spatiotemporal Dynamic Processes.K. Xu, H. Li, and H. Yang. IEEE Trans. Syst. Man Cybern. Syst., 49 (5): 1016-1026 (2019)The Target Tracking in Mobile Sensor Networks.G. Keung, B. Li, Q. Zhang, and H. Yang. GLOBECOM, page 1-5. IEEE, (2011)Evolutionary Design of Spatio-Temporal Learning Model for Thermal Distribution in Lithium-Ion Batteries.X. Meng, H. Li, and H. Yang. IEEE Trans. Ind. Informatics, 15 (5): 2838-2848 (2019)A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality.G. Liu, H. Yang, and M. Cheng. Int. J. Prod. Res., 55 (11): 3073-3091 (2017)

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Disambiguation of "Yang, Hai-Dong"

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Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks.

Please choose a person to relate this publication to

Dong-Yang Yang

Dong Yang

Dong-liang Yang

Dong-Yang Chung

Wei-Dong Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Hai-Dong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks.

Please choose a person to relate this publication to

Dong-Yang Yang

Dong Yang

Dong-liang Yang

Dong-Yang Chung

Wei-Dong Yang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks.