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uncertainties (delays, resources, failures) using various methods, including Bayesian approaches. 3. Optimize the workshop configuration, taking into account scenario variability, by relying on the surrogate
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noise from mechanical/vibratory sources. Two methodologies for monitoring the state of health of a structure based on an experimental modal analysis of the structure have been proposed: - the detection
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, · quantifying uncertainty in causal links, · integrating the resulting models into neural networks (or other machine learning models) to detect and predict anomalies or anticipate failures. The research
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