RETRACTED: Multichannel attention mechanisms fusion based on gate recurrent unit memory network for fine-grained image classification [EAI Endorsed Scal Inf Syst (2022), Online First]

Authors

  • Rui Yang Zhengzhou University of Science and Technology image/svg+xml
  • Dahai Li Henan Intelligent Information Processing and Control Engineering Technology Research Center

DOI:

https://doi.org/10.4108/eai.8-4-2022.173792

Abstract

We, the Publisher, have retracted the following article: Rui Yang, Dahai Li (2022). Multichannel attention mechanisms fusion based on gate recurrent unit memory network for fine-grained image classification. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.27-1-2022.173165

The authors submitted the article to the Special Issue on “Real-time image information processing with deep neural networks and data mining technologies”, edited by the Guest Editors Dr Prof. Hang Li (Northeastern University, China) and Dr Prof. Jochen Schiewe, HafenCity Universität Hamburg, Germany.

From our Research Integrity Team, we performed auditing of the editorial process of this Special Issue, and we identified misconduct during the review process. The generated reviews were simple, generalistic, without rigour, and the same for every submission.

Following the COPE guidelines, we decided to RETRACT this article because “Peer review manipulation suspected after publication”.

We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

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Published

08-04-2022

How to Cite

1.
Yang R, Li D. RETRACTED: Multichannel attention mechanisms fusion based on gate recurrent unit memory network for fine-grained image classification [EAI Endorsed Scal Inf Syst (2022), Online First]. EAI Endorsed Scal Inf Syst [Internet]. 2022 Apr. 8 [cited 2024 Nov. 14];9(4):e31. Available from: https://publications.eai.eu/index.php/sis/article/view/601