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The influence of feature vector on the classification of mechanical faults using neural networks.

D. Pestana-Viana, R. Zambrano-Lopez, A. de Lima, T. de M. Prego, S. Netto, and E. da Silva. LASCAS, page 115-118. IEEE, (2016)

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Eduardo Silva

Kerstin da Silva

Eduardo Mendes Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

Other publications of authors with the same name

On the time-frequency content of Weyl-Heisenberg frames generated from odd and even functions signal representation applications.L. Lovisolo, M. de Pinho, E. da Silva, and P. Diniz. ISCAS (3), page 2309-2312. IEEE, (2005)Non-Separable Non-Linear Decompositions with Applications to Image Compression.E. Jr., and E. da Silva. ICIP, page 387-390. IEEE, (2000)Facial fiducial points detection using discriminative filtering on principal components.W. Junior, G. Araujo, E. da Silva, and S. Goldenstein. ICIP, page 2681-2684. IEEE, (2010)Robust remote sensing still image coding with low memory requirements.A. da Cunha, W. Finamore, and E. da Silva. IGARSS, page 3305-3307. IEEE, (2002)Weak Classifier for Density Estimation in Eye Localization and Tracking.G. Araujo, F. Ribeiro, W. Junior, E. da Silva, and S. Goldenstein. IEEE Trans. Image Processing, 26 (7): 3410-3424 (2017)Recurrent pattern matching based stereo image coding using linear predictors.L. Lucas, N. Rodrigues, C. Pagliari, E. da Silva, and S. de Faria. Multidimens. Syst. Signal Process., 28 (4): 1393-1416 (2017)Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications.L. Lovisolo, M. Tcheou, E. da Silva, M. Rodrigues, and P. Diniz. EURASIP J. Adv. Signal Process., (2007)Guest Editorial Special Issue on ISCAS 2011.T. Lande, P. Liang, G. Manganaro, E. da Silva, and A. Tasic. IEEE Trans. Circuits Syst. I Regul. Pap., 59-I (5): 905 (2012)Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos.D. Pipa, E. da Silva, C. Pagliari, and P. Diniz. IEEE Trans. Image Process., 21 (12): 4758-4769 (2012)On fault classification in rotating machines using fourier domain features and neural networks.A. de Lima, T. de M. Prego, S. Netto, E. da Silva, R. Gutiérrez, U. Monteiro, A. Troyman, F. da C. Silveira, and L. Vaz. LASCAS, page 1-4. IEEE, (2013)

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Disambiguation of "da Silva, Eduardo A. B."

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The influence of feature vector on the classification of mechanical faults using neural networks.

Please choose a person to relate this publication to

Eduardo Silva

Kerstin da Silva

Eduardo Mendes Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "da Silva, Eduardo A. B."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The influence of feature vector on the classification of mechanical faults using neural networks.

Please choose a person to relate this publication to

Eduardo Silva

Kerstin da Silva

Eduardo Mendes Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

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
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The influence of feature vector on the classification of mechanical faults using neural networks.