Walid Abdallah Shobaki
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Biography and Research Information
OverviewAI-generated summary
Walid Abdallah Shobaki's research focuses on the application of computer vision and artificial intelligence to enhance human-computer interaction, specifically in the area of eye-gaze writing. His work investigates the integration of advanced techniques like YOLO, SSD, and Faster R-CNN to optimize the performance of eye-gaze writing systems. Shobaki also explores the synergy between computer vision and predictive text technologies to advance the capabilities of these interfaces. His recent publications detail comparative studies of object detection algorithms and present novel approaches for improving eye-gaze writing through these integrated systems.
Metrics
- h-index: 1
- Publications: 2
- Citations: 21
Selected Publications
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A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing (2025)
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- A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing
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