RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning

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

Expert Systems Pub Date : 2024-12-04 DOI:10.1111/exsy.13820

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引用次数: 0

Abstract

Retraction: C. Yu, L. Li, J. Li, P. Qin, and B. Zhang, “ The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning,” Expert Systems 41, no. 5 (2024): e13259. https://doi.org/10.1111/exsy.13259.

The above article, published online on 23 February 2023, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. Following an investigation by the publisher, the parties have concluded that this article was accepted solely on the basis of a compromised peer review process. In addition, the investigation found a number of irrelevant or missing citations included in the published article which leaves some statements insufficiently supported. Therefore, the article must be retracted. The authors did not respond to the notice regarding the retraction.

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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.