IUTT Faculty of Computer Science hosts a workshop to update the AI and Data Science program curricula, aligning academic outcomes with contemporary labor market needs.
The “MedFusionNet” project at IUTT utilizes hybrid AI techniques to achieve 94.58% accuracy in dermatological diagnosis and medical decision support.
The “ConvDAB-Net” project at IUTT achieves 98% accuracy in fetal brain anomaly classification, utilizing hybrid AI techniques to support early medical diagnosis.
A research project at IUTT develops a modified U-Net model for Arabic document layout analysis, achieving high precision in text segmentation at paragraph, line, and word levels.
The “Real-time AI Football Referee” project at IUTT utilizes computer vision and drones to make smart officiating decisions in football matches with high accuracy.