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Project to estimate the required computational and storage requirements for SDP processing and output data products. This informs the cost estimates of the SDP compute platform.
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🍎 , A deep learning web application that classifies 6 types of fruits into 'Good' or 'Bad' quality using MobileNetV2 CNN. Features a Next.js frontend with real-time image classification. Team members: -Salah Eddine Berredjem -Ziad Abadlia -Tesnim Lala Bouali -Ines Goutel -Imen Kanoua -Mohamed Saber TataUpdated -
Implementation of DRL for hydrogen utilization scheduling.
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This project provides simulation and data assimilation frameworks for modeling and forecasting age-specific drug-overdose mortality.
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