This project focuses on investigating more efficient and simplified approaches for very short-term precipitation forecasting, known as nowcasting. The goal is to evaluate and adapt lightweight machine learning models that can deliver accurate predictions using fewer computational resources. By reviewing existing models, testing their performance, and exploring ways to simplify their architecture without losing accuracy, […]
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