A hybrid model between a one-dimensional convolution neural network and machine learning algorithms for arabic sign language word recognition

Author:

Altememe Maha S.,Abbadi Nidhal K. El

Publisher

AIP Publishing

Reference22 articles.

1. W. H. Organization, "Deafness and hearing loss," 28 Oct 2019. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss. [Accessed 06 OCT 2021].

2. Maha S. Altememe, Nidhal K. El Abbadi, "A Review for Sign Language Recognition Techniques," in 1st. Babylon International Conference on Information Technology and Science 2021 (BICITS 2021), Babil-IRAQ, 2021.

3. Maha S. Altememe, Nidhal K. El Abbadi, "A Review for Sign Language Recognition Techniques," in 1st. Babylon International Conference on Information Techbology and Science 2021 (BICITS 2021)-, Babil-IRAQ, 2021.

4. Ruiyang Zhang,Yang Liub, Hao Suna, "Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling," Preprint submitted to Elsevier, vol. arXiv:1909.08118v1, no. [eess.SP], p. 25, September 19, 2019.

5. Communication with Deaf and Hard-of-hearing People

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