بعد أكاديمية كاوست
Shatha won the first place grand award at the Ministry of Interior's Absherthon in May 2025 and was a semi-finalist in StartAD's AI for Good Sandbox in October 2025. Shatha also co-authored an IEEE paper on fault classification for a nano quadcopter.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2024
Deep Learning-Based Fault Detection System for Structural Defects in Nano-Quadcopters
Detecting faults in nano-quadcopters is critical to ensuring safety and performance. This study proposes a deep learning-based system for detecting structural defects in real time. Utilizing advanced feature engineering and dimensionality reduction techniques, the proposed model offers a reliable and efficient solution for ensuring the integrity and functionality of nano-quadcopters in various applications with high accuracy and low inference time.
مع أكاديمية كاوست
- دفعة 2024
جامعة الملك عبدالله للعلوم والتقنية (كاوست) · المدرسة الصيفية للذكاء الاصطناعي
هل تريد تحديث بياناتك أو حذفها؟ تواصل معنا.