338 citations
- National Research Institute of Astronomy and GeophysicsEG16 papers
- École de Technologie SupérieureCA6 papers
- Guilin University of Electronic TechnologyCN6 papers
- University of JeddahSA6 papers
- King Abdulaziz City for Science and TechnologySA5 papers
- Nihon UniversityJP5 papers
- University of Technology MalaysiaMY5 papers
- GLA UniversityIN4 papers
- Imam Mohammad ibn Saud Islamic UniversitySA4 papers
- Tunis El Manar UniversityTN4 papers
- Al Madinah International UniversityMY3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
92 papers
Real-time thermal photon-photon interactions in the mixed space
M. A. A. Ahmed, H. Zainuddin, N. M. Shah +1
Using the effective Lagrangian for the low-energy/temperature of photon-photon interaction and the lowest-order photon self-energy is calculated in the Real Time Formalism (RTF) fo…
Enhanced Arabic-language cyberbullying detection: deep embedding and transformer (BERT) approaches
Ebtesam Jaber Aljohani, Wael M. S. Yafoo
Recent technological advances in smartphones and communications, including the growth of such online platforms as massive social media networks such as X (formerly known as Twitter…
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
Binbin Wen, Yihang Wu, Tareef Daqqaq +1
The integration of artificial intelligence (AI) into medicine is remarkable, offering advanced diagnostic and therapeutic possibilities. However, the inherent opacity of complex AI…
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
Yunyao Lu, Yihang Wu, Ahmad Chaddad +2
Despite the remarkable performance of supervised medical image segmentation models, relying on a large amount of labeled data is impractical in real-world situations. Semi-supervis…
Domain Adaptation Techniques for Natural and Medical Image Classification
Ahmad Chaddad, Yihang Wu, Reem Kateb +1
Domain adaptation (DA) techniques have the potential in machine learning to alleviate distribution differences between training and test sets by leveraging information from source…
Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah +4
Vesicoureteral reflux (VUR) is traditionally assessed using subjective grading systems, which introduces variability in diagnosis. This study investigates the use of machine learni…