2 citations · 2 across the 7 of their papers we have counts for
6 papers · 1 filter
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
Youssef Mohamed, Noran Mohamed, Khaled Abouhashad +5
While Multi-Task Learning (MTL) offers inherent advantages in complex domains such as medical imaging by enabling shared representation learning, effectively balancing task contrib…
Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
Mazen Balat, Rewaa Awaad, Ahmed B. Zaky +1
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 EfficientNet-…
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models
Mazen Balat, Rewaa Awaad, Hend Adel +2
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep learning methods in conjunction with transfer learning and transformer-based models. We study…
TikGuard: A Deep Learning Transformer-Based Solution for Detecting Unsuitable TikTok Content for Kids
Mazen Balat, Mahmoud Essam Gabr, Hend Bakr +1
The rise of short-form videos on platforms like TikTok has brought new challenges in safeguarding young viewers from inappropriate content. Traditional moderation methods often fal…
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach
Mazen Balat, Youssef Mohamed, Ahmed Heakl +1
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures…
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning
Youssef Mohamed, Zeyad Youssef, Ahmed Heakl +1
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like p…