撤回:使用卷积神经网络中的脑电图分类,推断医疗物联网5.0中的隐私

IF 3.4 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-12-09 DOI:10.1111/exsy.13813
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引用次数: 0

摘要

引用本文:张晓东,张晓东,张晓东,张晓东,“基于卷积神经网络的医疗物联网隐私分析”,《计算机科学》,第4期。4 (2023): e12942, https://doi.org/10.1111/exsy.12942。上述文章于2022年3月3日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经期刊主编David Camacho;约翰·威利&;子有限公司这篇文章是作为嘉宾编辑的特刊的一部分提交的。在发表之后,我们注意到这篇文章没有按照期刊的同行评议标准进行评议,完全是在一个妥协的同行评议过程的基础上被接受的。此外,研究概念、认证方法、患者数据的来源或性质等相关信息缺失。因此,提出的结论被认为是无效的。
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RETRACTION: Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0

RETRACTION: U. S. B. K. Mahalaxmi, K. B. Sahay, R. Sabitha, S. L. A. Haleem, P. Kaur, P. Vijayakumar, “ Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0,” Expert Systems 40, no. 4 (2023): e12942, https://doi.org/10.1111/exsy.12942.

The above article, published online on 03 March 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to our attention that the article was not reviewed in line with the journal's peer review standards and solely accepted on the basis of a compromised peer review process. Furthermore, relevant information about the research concept, the authentication method, and the source or nature of the patients' data are missing. As a result, the conclusions presented are considered invalid.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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