Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …

With the fast improvement and development in deep learning and computer vision, the
interaction between humans and computers is becoming immense. This research work aims …

In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …

Dynamic Sign Language Recognition aims to recognize hand gestures of any person.
Dynamic Sign Language Recognition systems have challenges in recognizing the semantic …

Abstract The adoption of Sign Language Communication (SLC) systems has become more
significant in closing the interaction between the deaf society and the world of hearing …

Abstract Training Deep Learning (DL) models require adjusting a series of hyperparameters.
Although there are several tools to automatically choose the best hyperparameter …

In this paper, we propose a convolutional recurrent approach for Arabic word recognition.
We handle a large vocabulary of Arabic decomposable words, which are factored according …

In a society that seeks to be inclusive, communication between the deaf and hearing
communities should be a priority, even so, knowledge of sign language between speakers is …