Deep Learning Approaches for Gender Classification from Facial Images

MA Habeeb, YL Khaleel, RD Ismail… - … Journal of Big Data, 2024 - mesopotamian.press
Gender recognition on the facial level is considered one of the most important technologies
that finds use in such fields as a personalized marketing plan, safe systems of …

Deep Learning Model for Hand Movement Rehabilitation

RD Ismail, QA Hameed, MA Habeeb… - Mesopotamian …, 2024 - mesopotamian.press
Electroencephalography (EEG) can control machines for human purposes, especially for
disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface …

The Role of AI in Modern Language Translation and Its Societal Applications: A Systematic

S Ssemugabi - Artificial Intelligence Research, 2024 - books.google.com
Artificial intelligence (AI) has greatly transformed language translation, especially over the
past five years. The main aim of this research was to explore the role AI has played in …

Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition

M Balat, R Awaad, AB Zaky, SA Aly - arXiv preprint arXiv:2501.08169, 2025 - arxiv.org
This study introduces an integrated approach to recognizing Arabic Sign Language (ArSL)
using state-of-the-art deep learning models such as MobileNetV3, ResNet50, and …

[HTML][HTML] Advancing human-computer interaction: AI-driven translation of American Sign Language to Nepali using convolutional neural networks and text-to-speech …

B Paneru, B Paneru, KN Poudyal - Systems and Soft Computing, 2024 - Elsevier
Advanced technology that serves people with impairments is severely lacking in Nepal,
especially when it comes to helping the hearing impaired communicate. Although sign …

The Role of AI in Modern Language Translation and Its Societal Applications: A Systematic Literature Review

S Ssemugabi - Southern African Conference for Artificial Intelligence …, 2025 - Springer
Artificial intelligence (AI) has greatly transformed language translation, especially over the
past five years. The main aim of this research was to explore the role AI has played in …

Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models

M Balat, R Awaad, H Adel, AB Zaky, SA Aly - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep
learning methods in conjunction with transfer learning and transformer-based models. We …

CNN Algorithm with SIFT to Enhance the Arabic Sign Language Recognition

N Sagheer, MH Bashaa, FH Almasoudy… - Available at SSRN …, 2024 - papers.ssrn.com
Sign language is used as a primary means of communication by millions of people who
suffer from hearing problems. The unhearing people used visual language to interact with …

[PDF][PDF] CNN Algorithm with SIFT to Enhance the Arabic Sign Language Recognition

MH Bashaa, FH Almasoudy, NS Sagheer… - International Journal of … - researchgate.net
Sign language is used as a primary means of communication by millions of people who
suffer from hearing problems. The unhearing people used visual language to interact with …