DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification

Muhammad Irfan, Jiangbin Zheng, Shahid Ali, Muhammad Iqbal 0001, Zafar Masood, Umar Hamid. DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification. Expert Syst. Appl., 183:115270, 2021. [doi]

@article{IrfanZAIMH21,
  title = {DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification},
  author = {Muhammad Irfan and Jiangbin Zheng and Shahid Ali and Muhammad Iqbal 0001 and Zafar Masood and Umar Hamid},
  year = {2021},
  doi = {10.1016/j.eswa.2021.115270},
  url = {https://doi.org/10.1016/j.eswa.2021.115270},
  researchr = {https://researchr.org/publication/IrfanZAIMH21},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {183},
  pages = {115270},
}