RETRACTION: Activation-based Recurrent Learning Method for Wearable Sensor Data Processing in Human Activity Recognition

IF 2.5 4区计算机科学 Q3 TELECOMMUNICATIONS Transactions on Emerging Telecommunications Technologies Pub Date : 2024-10-09 DOI:10.1002/ett.5053

{"title":"RETRACTION: Activation-based Recurrent Learning Method for Wearable Sensor Data Processing in Human Activity Recognition","authors":"","doi":"10.1002/ett.5053","DOIUrl":null,"url":null,"abstract":"\n RETRACTION: C.-H. Hsu, H. Wu, W. Lin, A. Kobusinska, and F. Xia, “ Activation-based Recurrent Learning Method for Wearable Sensor Data Processing in Human Activity Recognition,” Trans Emerg Telecommun Technol (Early View): doi:10.1002/ett.4682.The above article, published online on 11 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Changqiao Xu; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to the attention of the journal that the article was accepted solely on the basis of compromised editorial handling and peer review processes. Furthermore, several articles, this one included, submitted as part of the same special issue exhibited an unusually high degree of similarity in both concept and style. Therefore, the decision to retract this article was taken.","PeriodicalId":23282,"journal":{"name":"Transactions on Emerging Telecommunications Technologies","volume":"35 10","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ett.5053","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Emerging Telecommunications Technologies","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ett.5053","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}

引用次数: 0

Abstract

RETRACTION: C.-H. Hsu, H. Wu, W. Lin, A. Kobusinska, and F. Xia, “ Activation-based Recurrent Learning Method for Wearable Sensor Data Processing in Human Activity Recognition,” Trans Emerg Telecommun Technol (Early View): doi:10.1002/ett.4682.

The above article, published online on 11 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Changqiao Xu; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to the attention of the journal that the article was accepted solely on the basis of compromised editorial handling and peer review processes. Furthermore, several articles, this one included, submitted as part of the same special issue exhibited an unusually high degree of similarity in both concept and style. Therefore, the decision to retract this article was taken.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

RETRACTION：基于激活的递归学习方法，用于人类活动识别中的可穿戴传感器数据处理

retraction: C.-H.Hsu, H. Wu, W. Lin, A. Kobusinska, and F. Xia, " Activation-based Recurrent Learning Method for Wearable Sensor Data Processing in Human Activity Recognition," Trans Emerg Telecommun Technol (Early View): doi:10.1002/ett.4682.上述文章于 2022 年 11 月 11 日在线发表于 Wiley Online Library (wileyonlinelibrary.com)，经期刊主编徐长桥和 John Wiley & Sons Ltd.（约翰-威利父子有限公司）同意，已被撤回。这篇文章是作为特邀编辑特刊的一部分提交的。文章发表后，本刊注意到，该文章被接受的唯一依据是编辑处理和同行评审过程中存在的纰漏。此外，作为同一特刊的一部分提交的几篇文章，包括这篇文章在内，在概念和风格上都表现出异常高的相似度。因此，决定撤回这篇文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Transactions on Emerging Telecommunications Technologies TELECOMMUNICATIONS-

CiteScore

8.90

自引率

13.90%

发文量

249

期刊介绍： ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims: - to attract cutting-edge publications from leading researchers and research groups around the world - to become a highly cited source of timely research findings in emerging fields of telecommunications - to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish - to become the leading journal for publishing the latest developments in telecommunications