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ew 26(1):

Editorial

Retraction Notice: Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data

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  • @ARTICLE{10.4108/ew.13110,
        author={Keming Wang and Chengli Wang and Wenbing Jin and Liuming Qi},
        title={Retraction Notice: Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={13},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={6},
        keywords={},
        doi={10.4108/ew.13110}
    }
    
  • Keming Wang
    Chengli Wang
    Wenbing Jin
    Liuming Qi
    Year: 2024
    Retraction Notice: Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data
    EW
    EAI
    DOI: 10.4108/ew.13110
Keming Wang1,*, Chengli Wang2, Wenbing Jin1, Liuming Qi3
  • 1: School of Internet of Things Technology, Hangzhou Polytechnic
  • 2: Hangzhou SECK Intelligent Technology Co., Ltd.
  • 3: Hangzhou Institute of Applied Acoustics
*Contact email: WenbingJin@yeah.net

Abstract

We, the publisher, have retracted the following article: Wang et al. (2024). Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data. https://doi.org/10.4108/ew.6097 The article has been retracted due to misconduct during the peer review process.  We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.

Received
2024-03-07
Accepted
2024-05-28
Published
2024-06-04
Publisher
EAI
http://dx.doi.org/10.4108/ew.13110

Copyright © 2024 Wang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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