IUTT begins the second group of field training defense sessions, praising the professional level and confidence shown by students in presenting their practical experiences.
IUTT completes the evaluation of 78 students in the first group of field training defenses, featuring Business, Multimedia, Accounting, and BIT majors.
A research project at IUTT successfully detects deepfake voices with 94% accuracy, employing advanced techniques to combat digital fraud in real-world conditions.
The “MedFusionNet” project at IUTT utilizes hybrid AI techniques to achieve 94.58% accuracy in dermatological diagnosis and medical decision support.
IUTT Multimedia students showcase distinguished projects in Art and Design principles, merging Yemeni identity with modern techniques in the presence of university leadership.
IUTT launches the graduation project defenses for the Computer Science program (2025–2026), emphasizing the role of these projects in preparing technical competencies for the labor market.
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.
IUTT Multimedia students showcase over 50 innovative packaging projects, focusing on highlighting the Yemeni product identity through modern and professional methods.