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A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.

D. Huang, R. Bai, S. Zhao, P. Wen, J. He, S. Wang, and S. Chen. ICPHM, page 1-8. IEEE, (2021)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Hanchun Wang

Chuanchao Wang

Qingwei Wang

Other publications of authors with the same name

Exploiting Speculative Thread-Level Parallelism in Data Compression Applications.S. Wang, A. Zhai, and P. Yew. LCPC, volume 4382 of Lecture Notes in Computer Science, page 126-140. Springer, (2006)Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine.D. Huang, R. Bai, S. Zhao, P. Wen, S. Wang, and S. Chen. ICPHM, page 1-8. IEEE, (2020)Symbiotic gut microbes modulate human metabolic phenotypesM. Li, B. Wang, M. Zhang, M. Rantalainen, S. Wang, H. Zhou, Y. Zhang, J. Shen, X. Pang, M. Zhang and 16 other author(s). Proceedings of the National Academy of Sciences, 105 (6): 2117--2122 (Feb 12, 2008)Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization.S. Chen, S. Wang, P. Wen, and S. Zhao. ICPHM, page 1-9. IEEE, (2021)A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things.S. Chen, F. Xu, S. Wang, Y. Huang, P. Wen, D. Huang, and S. Zhao. ICPHM, page 1-8. IEEE, (2021)Compiler optimizations for parallelizing general-purpose applications under thread-level speculation.A. Zhai, S. Wang, P. Yew, and G. He. PPoPP, page 271-272. ACM, (2008)Supporting Speculative Multithreading on Simultaneous Multithreaded Processors.V. Packirisamy, S. Wang, A. Zhai, W. Hsu, and P. Yew. HiPC, volume 4297 of Lecture Notes in Computer Science, page 148-158. Springer, (2006)A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.D. Huang, R. Bai, S. Zhao, P. Wen, J. He, S. Wang, and S. Chen. ICPHM, page 1-8. IEEE, (2021)Loop Selection for Thread-Level Speculation.S. Wang, X. Dai, K. Yellajyosula, A. Zhai, and P. Yew. LCPC, volume 4339 of Lecture Notes in Computer Science, page 289-303. Springer, (2005)

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Disambiguation of "Wang, Shengyue"

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A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Hanchun Wang

Chuanchao Wang

Qingwei Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Shengyue"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Hanchun Wang

Chuanchao Wang

Qingwei Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.