Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection

Tariq Ahmad, Jinsong Wu, Hathal Salamah Alwageed, Faheem Khan, Jawad Khan, Youngmoon Lee. Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. IEEE Access, 11:33148-33159, 2023. [doi]

@article{AhmadWAKKL23,
  title = {Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection},
  author = {Tariq Ahmad and Jinsong Wu and Hathal Salamah Alwageed and Faheem Khan and Jawad Khan and Youngmoon Lee},
  year = {2023},
  doi = {10.1109/ACCESS.2023.3263155},
  url = {https://doi.org/10.1109/ACCESS.2023.3263155},
  researchr = {https://researchr.org/publication/AhmadWAKKL23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {11},
  pages = {33148-33159},
}