WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Sc...

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Autores principales: Vijay kumar, Janga, Harshavardhan, A., Bhukya, Hanumanthu, Krishna Prasad, A.V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Withdrawal Notice
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556782/
https://www.ncbi.nlm.nih.gov/pubmed/33078094
http://dx.doi.org/10.1016/j.matpr.2020.10.053
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author Vijay kumar, Janga
Harshavardhan, A.
Bhukya, Hanumanthu
Krishna Prasad, A.V.
author_facet Vijay kumar, Janga
Harshavardhan, A.
Bhukya, Hanumanthu
Krishna Prasad, A.V.
author_sort Vijay kumar, Janga
collection PubMed
description This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record.
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spelling pubmed-75567822020-10-15 WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks Vijay kumar, Janga Harshavardhan, A. Bhukya, Hanumanthu Krishna Prasad, A.V. Mater Today Proc Withdrawal Notice This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record. Elsevier Ltd. 2020-10-14 /pmc/articles/PMC7556782/ /pubmed/33078094 http://dx.doi.org/10.1016/j.matpr.2020.10.053 Text en © 2020 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Withdrawal Notice
Vijay kumar, Janga
Harshavardhan, A.
Bhukya, Hanumanthu
Krishna Prasad, A.V.
WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title_full WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title_fullStr WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title_full_unstemmed WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title_short WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
title_sort withdrawn: advanced machine learning-based analytics on covid-19 data using generative adversarial networks
topic Withdrawal Notice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556782/
https://www.ncbi.nlm.nih.gov/pubmed/33078094
http://dx.doi.org/10.1016/j.matpr.2020.10.053
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