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A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.

T. Han, C. Liu, W. Yang, and D. Jiang. Knowl. Based Syst., (2019)

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Nguyen Te

Hertha te Heesen

Walter te Kamp

Tsu-Te Chang

Te Ju Jang

Other publications of authors with the same name

A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions.T. Han, Y. Li, and M. Qian. IEEE Trans. Instrum. Meas., (2021)Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker.Y. Chen, Y. Tang, Z. Yin, T. Han, B. Zou, and H. Feng. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding.Y. Zhou, T. Luo, X. Zhang, and T. Han. PRCV (13), volume 14437 of Lecture Notes in Computer Science, page 407-423. Springer, (2023)A 2.7-GHz digitally-controlled ring oscillator with supply sensitivity of 0.0014%-fDCO/1%-VDD using digital current-regulated tuning.T. Han, and W. Gai. ISCAS, page 2690-2693. IEEE, (2013)A novel frequency search algorithm to achieve fast locking without phase tracking in ADPLL.B. Wu, W. Gai, and T. Han. ISCAS, page 2464-2467. IEEE, (2013)Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine.T. Han, W. Xie, and Z. Pei. Inf. Sci., (November 2023)Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection.Y. Tang, X. Yang, T. Han, F. Zhang, B. Zou, and H. Feng. Remote. Sens., 16 (4): 721 (February 2024)RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking.Y. Chen, Y. Tang, T. Han, Y. Zhang, B. Zou, and H. Feng. Remote. Sens., 14 (13): 3108 (2022)Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework.T. Zhou, T. Han, and E. Droguett. Reliab. Eng. Syst. Saf., (2022)A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.T. Han, C. Liu, W. Yang, and D. Jiang. Knowl. Based Syst., (2019)

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Disambiguation of "Han, Te"

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A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.

Please choose a person to relate this publication to

Nguyen Te

Hertha te Heesen

Walter te Kamp

Tsu-Te Chang

Te Ju Jang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Han, Te"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.

Please choose a person to relate this publication to

Nguyen Te

Hertha te Heesen

Walter te Kamp

Tsu-Te Chang

Te Ju Jang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.