Shahad Alamri

بعد أكاديمية كاوست

Shahad began a Master's in Bioengineering, machine learning and bioinformatics track, at KAUST in fall 2026, after joining Elm Company as a QA Engineer in April 2025. Shahad's team won third place in the SCAI AI League in April 2025.

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.

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مع أكاديمية كاوست

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