Cargando…
Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network
The deaf-mutes population always feels helpless when they are not understood by others and vice versa. This is a big humanitarian problem and needs localised solution. To solve this problem, this study implements a convolutional neural network (CNN), convolutional-based attention module (CBAM) to re...
Autores principales: | Khan, Rehman Ullah, Khattak, Hizbullah, Wong, Woei Sheng, AlSalman, Hussain, Mosleh, Mogeeb A. A., Mizanur Rahman, Sk. Md. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683193/ https://www.ncbi.nlm.nih.gov/pubmed/34925497 http://dx.doi.org/10.1155/2021/9023010 |
Ejemplares similares
-
Secure Patient Authentication Framework in the Healthcare System Using Wireless Medical Sensor Networks
por: Jan, Saeed Ullah, et al.
Publicado: (2021) -
MyWSL: Malaysian words sign language dataset
por: Johari, Rina Tasia, et al.
Publicado: (2023) -
Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems
por: Afridi, Minhaj, et al.
Publicado: (2022) -
Hypertuned Deep Convolutional Neural Network for Sign Language Recognition
por: Mannan, Abdul, et al.
Publicado: (2022) -
GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism
por: Nawaz, Asif, et al.
Publicado: (2020)