基于胸片经典和量子迁移学习的COVID-19分类集成框架

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Concurrency and Computation-Practice & Experience Pub Date : 2025-02-18 DOI:10.1002/cpe.70015

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引用次数: 0

摘要

撤稿：M. J. Umer， J. Amin， M. Sharif， M. a . Anjum， F. Azam， J. H. Shah，“基于胸片经典和量子迁移学习的COVID-19分类集成框架”，并发与计算：实践与经验，第34期。20 (2022): e6434, https://doi.org/10.1002/cpe.6434.The上述文章于2021年6月29日在Wiley online Library （wileyonlinelibrary.com）上发表，经期刊编辑David W. Walker、Jinjun Chen、Nitin Auluck和Martin Berzins同意撤回；约翰·威利&；子有限公司由于发现同行评议和出版过程被操纵，因此已同意撤回。作者已被告知撤稿的决定。

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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RETRACTION: An Integrated Framework for COVID-19 Classification Based on Classical and Quantum Transfer Learning from a Chest Radiograph

RETRACTION: M. J. Umer, J. Amin, M. Sharif, M. A. Anjum, F. Azam, and J. H. Shah, “ An Integrated Framework for COVID-19 Classification Based on Classical and Quantum Transfer Learning from a Chest Radiograph,” Concurrency and Computation: Practice and Experience 34, no. 20 (2022): e6434, https://doi.org/10.1002/cpe.6434.

The above article, published online on 29 June 2021 in Wiley Online Library ( wileyonlinelibrary.com), has been retracted by agreement between the journal Editors, David W. Walker, Jinjun Chen, Nitin Auluck, and Martin Berzins; and John Wiley & Sons Ltd. The retraction has been agreed on as the peer review and publishing process was found to be manipulated. The authors have been informed of the decision to retract.

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来源期刊

Concurrency and Computation-Practice & Experience 工程技术-计算机：理论方法

CiteScore

5.00

自引率

10.00%

发文量

664

审稿时长

9.6 months

期刊介绍： Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.