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

Authors

  • Keming Wang School of Internet of Things Technology, Hangzhou Polytechnic
  • Chengli Wang Hangzhou SECK Intelligent Technology Co., Ltd.
  • Wenbing Jin School of Internet of Things Technology, Hangzhou Polytechnic
  • Liuming Qi Hangzhou Institute of Applied Acoustics image/svg+xml

DOI:

https://doi.org/10.4108/ew.13110

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The article has been retracted due to misconduct during the peer review process.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 The retracted article will remain, and it has been watermarked as “RETRACTED”.

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Published

21-05-2026

Issue

Vol. 13 (2026): EAI Endorsed Transactions on Energy Web

Section

Retractions

License

Copyright (c) 2026 Keming Wang, Chengli Wang, Wenbing Jin, Liuming Qi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 4.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

How to Cite

1.
Wang K, Wang C, Jin W, Qi L. Retraction Notice: Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data. EAI Endorsed Trans Energy Web [Internet]. 2026 May 21 [cited 2026 May 21];13. Available from: https://publications.eai.eu/index.php/ew/article/view/13110

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