RETRACTION: Internet of Agents System for Age and Gender Classification Using Grasshopper Optimization With Deep Convolution Neural Networks

IF 3 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems Pub Date : 2024-09-26 DOI:10.1111/exsy.13746

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引用次数: 0

Abstract

RETRACTION: A. K. Dutta, B. Qureshi, Y. Albagory, M. Alsanea, D. Gupta, and A. Khanna, “ Internet of Agents System for Age and Gender Classification Using Grasshopper Optimization With Deep Convolution Neural Networks,” Expert Systems 40, no. 4 (2023): e13115. https://doi.org/10.1111/exsy.13115.

The above article, published online on 02 August 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd.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 the attention of the journal that parts of the methods in the article lack sufficient detail such that the research cannot be reproduced. Furthermore, images of individuals have been used in figures 1, 3, 4 and 5 without any information provided regarding copyright and consent to use images. The editors have therefore decided to retract this article.

查看原文本刊更多论文

RETRACTION：利用蚱蜢优化和深度卷积神经网络进行年龄和性别分类的代理互联网系统

返回：A. K. Dutta、B. Qureshi、Y. Albagory、M. Alsanea、D. Gupta 和 A. Khanna，" 使用深度卷积神经网络的蚱蜢优化进行年龄和性别分类的互联网代理系统"，《专家系统》第 40 期，no.4 (2023): e13115. https://doi.org/10.1111/exsy.13115. 上述文章于 2022 年 8 月 2 日在线发表于 Wiley Online Library (wileyonlinelibrary.com)，经期刊主编大卫-卡马乔（David Camacho）与 John Wiley & Sons Ltd.（John Wiley & Sons Ltd.）协商，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，本刊注意到文章中的部分方法不够详细，导致研究无法复制。此外，图 1、图 3、图 4 和图 5 中使用了个人图像，但未提供任何有关版权和同意使用图像的信息。因此，编辑决定撤回这篇文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.