RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents

Ashraf Haroon Rashid, Imran Razzak, M. Tanveer, Antonio Robles-Kelly. RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. In Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, editors, Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Volume 1333 of Communications in Computer and Information Science, pages 172-179, Springer, 2020. [doi]

@inproceedings{RashidRTR20,
  title = {RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents},
  author = {Ashraf Haroon Rashid and Imran Razzak and M. Tanveer and Antonio Robles-Kelly},
  year = {2020},
  doi = {10.1007/978-3-030-63823-8_21},
  url = {https://doi.org/10.1007/978-3-030-63823-8_21},
  researchr = {https://researchr.org/publication/RashidRTR20},
  cites = {0},
  citedby = {0},
  pages = {172-179},
  booktitle = {Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V},
  editor = {Haiqin Yang and Kitsuchart Pasupa and Andrew Chi-Sing Leung and James T. Kwok and Jonathan H. Chan and Irwin King},
  volume = {1333},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-63823-8},
}