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Field
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, pour fault tolérant control) sont des enjeux primordiaux. En effet le diagnostic permet de détecter, localiser et éventuellement quantifier un ou des dysfonctionnements dans un procédé. La commande
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observers, and advanced signal processing techniques. Various fault scenarios (localized, coupled, progressive) will be investigated to build robust diagnostic methods under non-stationary operating
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fault behavior from only the largest events. As in the history of seismology—where the detection of small earthquakes revolutionized our understanding of faulting—systematically identifying small and
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of electrical conductivity, which is a measure of ion dissociation along with dielectric permittivity, which governs electrostatic interactions and ion solvation. Traditional "trial-and-error" experimental methods
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. Current approaches mainly focus on software-level adversarial robustness or high-level fault tolerance. However, few methodologies jointly consider physical disturbances, embedded constraints, and AI
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wavefront sensing approaches (Pair-Wise Probing, Self-Coherent Camera, Zernike Sensor) and CFA detectors. This research work will aim to find the most suitable configurations for simultaneous wavefront error
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of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
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relationships in functional materials still relies largely on empirical approaches (trial-and-error, design of experiments), which are time- and resource-intensive. These methods require stable and highly
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trial-and-error approach often appear to be limited, and it has become necessary to develop adapted methods that enable efficient design. System and Control theory and Signal Processing are natural