Editorial
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]
@ARTICLE{10.4108/eai.8-4-2022.173792, author={Rui Yang and Dahai Li}, title={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]}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={9}, number={4}, publisher={EAI}, journal_a={SIS}, year={2022}, month={1}, keywords={}, doi={10.4108/eai.8-4-2022.173792} }
- Rui Yang
Dahai Li
Year: 2022
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]
SIS
EAI
DOI: 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 The retracted article will remain, and it has been watermarked as “RETRACTED”.
Copyright © 2022 Rui Yang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.