Open Access
Issue
E3S Web Conf.
Volume 360, 2022
2022 8th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2022)
Article Number 01055
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/202236001055
Published online 23 November 2022
  1. D. Zhang, Y. Bai, W. Zhao, et al. Dynamic Analysis of Submarine Cable During the Process of Laying Back to the Seabed [J]. Ships Offshore Struct, 15(2), 153–161(2020) [CrossRef] [Google Scholar]
  2. J. Jian, X. Lu, M. Luo, et al. Parallel Fully Convolutional Network for Semantic Segmentation [J]. IEEE Access, 9, 673–682(2021) [CrossRef] [Google Scholar]
  3. K. Fazle, M. Somshubra, D. Houshang, et al. Multivariate LSTM-FCNs for Time Series Classification [J]. Neural Netw, 116, 237–245(2019) [CrossRef] [PubMed] [Google Scholar]
  4. E. Elbouchikhi, M. F. Zia, M. Benbouzid, et al. Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring [J]. Electronics, 10(21) 2725–2725 (2021) [CrossRef] [Google Scholar]
  5. R. Alberto, H. Markus, S. Franco, et al. A Study on the Effects of Recursive Convolutional Layers in Convolutional Neural Networks [J]. Neurocomputing, 460, 59–70 (2021) [CrossRef] [Google Scholar]
  6. H. Liu, Y. Liu, B. Li, et al. Ship Abnormal Behavior Detection Method Based on Optimized GRU Network [J]. J. Mar. Sci. Eng. 10(2), 249–249(2022) [CrossRef] [Google Scholar]
  7. Y. Wu, S. Li. Damage Degree Evaluation of Masonry Using Optimized SVM-based Acoustic Emission Monitoring and Rate Process Theory [J]. Measurement, 190, 1–15 (2022) [Google Scholar]
  8. Y. Zhao, Z. Feng, X. Zhu, et al. Research on Blocking Recognition of Drainage Pipeline Under Complicated Conditions Based on Time-Frequency Image and CNN-SVM [J]. J. Instrum, 35(2), 161–170(2021) [Google Scholar]
  9. S. Shahi, F. H. Fenton, E. Cherry. A Machine Learning Approach for Long-Term Prediction of Experimental Cardiac Action Potential Time Series Using an Auto-encoder and Echo State Networks [J]. Chaos, 32(6), 1–14(2022) [Google Scholar]
  10. Q. Zheng. Research on Vibration Signal Analysis Method of Optical Fiber Composite Submarine Cable Based on ESMD and SVM [D]. North China Electric Power University (2021) [Google Scholar]

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