Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611

Yuan, Nanqi; Yang, Wenli; Kang, Byeong; Xu, Shuxiang; Wang, Xiaolin; Applied Sciences Editorial Office,

doi:10.3390/app10041413

Open AccessRetraction

Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611

¹

Discipline of ICT, School of Technology, Environments and Design, University of Tasmania, Hobart TAS7005, Australia

²

School of Engineering, Australian Maritime College, University of Tasmania, Hobart TAS7005, Australia

³

MDPI AG, St. Alban-Anlage 66, 4052 Basel, Switzerland

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2020, 10(4), 1413; https://doi.org/10.3390/app10041413

Submission received: 25 April 2019 / Accepted: 29 April 2019 / Published: 20 February 2020

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The published article [1] has been retracted at the request of the authors. The co-authors were not aware that the article had been submitted for publication and do not agree to the publication of the paper in its current form. Thus, out of respect for the author’s wishes and in agreement with the Applied Sciences Editorial Office, the paper will be marked as retracted. We apologize for any inconvenience caused by the removal of this article. We note that all authors are kept informed of submissions to Applied Sciences; however, in this case, incorrect email addresses were supplied to the Editorial Office.

Applied Sciences is a member of the Committee on Publication Ethics (COPE) and strives to uphold the highest ethical standards. The published article [1] is retracted and shall be marked accordingly.

Reference

Yuan, N.; Yang, W.; Kang, B.; Xu, S.; Wang, X. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611. [Google Scholar] [CrossRef] [Green Version]

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Yuan, N.; Yang, W.; Kang, B.; Xu, S.; Wang, X.; Applied Sciences Editorial Office. Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611. Appl. Sci. 2020, 10, 1413. https://doi.org/10.3390/app10041413

AMA Style

Yuan N, Yang W, Kang B, Xu S, Wang X, Applied Sciences Editorial Office. Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611. Applied Sciences. 2020; 10(4):1413. https://doi.org/10.3390/app10041413

Chicago/Turabian Style

Yuan, Nanqi, Wenli Yang, Byeong Kang, Shuxiang Xu, Xiaolin Wang, and Applied Sciences Editorial Office. 2020. "Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611" Applied Sciences 10, no. 4: 1413. https://doi.org/10.3390/app10041413

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Retraction: Yuan, N., et al. Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring. Appl. Sci. 2018, 8, 2611, doi:10.3390/app8122611

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