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The intersection of reduced order modeling (ROM) techniques and machine learning (ML) represents a critical advancement in computational science. Traditional ROM methods have evolved significantly since
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the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings by Subject 2024, highlighting its multidisciplinary
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of Marine Engineering (CNR-INM) in Rome, and Centrale Nantes. [1] R. Pellegrini et al. A multi-fidelity active learning method for global design optimization problems with noisy evaluations. Eng. with Comput
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. Additionally, Centrale Nantes is positioned in the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings by Subject 2024
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this area. Additionally, Centrale Nantes is positioned in the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings
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the top 300 globally for Engineering, and in the top 500 for Physical and Computer Sciences in the Times Higher Education World University Rankings by Subject 2024, highlighting its multidisciplinary