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. Anomaly Detection and Fault Diagnosis using Frugal AI • Selection, feature extraction, and construction of relevant indicators from electrical signals and supervisory data. • Study of signal processing
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the desired accuracy at minimal cost. • Study the interactions between different modeling levels (RANS, RANS/LES hybrid approaches, LES). • Develop multi-fidelity methodologies that enable the effective
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