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Extreme value statistics for vibration spectra outlier detection
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Probabilistic outlier detection in vibration spectra with small learning dataset
The issue of detecting abnormal vibrations from spectra is addressed in this article, when little is known both on the mechanical behavior of the system, and on the... -
Computational aspects for constructing realizations of polynomial chaos in hi...
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Non-Gaussian positive-definite matrix-valued random fields with constrained e...
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A stochastic model for elasticity tensors with uncertain material symmetries
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Probabilistic model and experimental identification of screw-attachment in pl...
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Theoretical framework and experimental procedure for modelling mesoscopic vol...
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Nonparametric stochastic modeling of linear systems with prescribed variance ...
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Identification of the elasticity tensor of an uncertain biomechanical computa...
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Recent advances in prior probabilistic representations for non-Gaussian mesos...
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Estimation of the fuzzy substructure model parameters using the mean power fl...
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Context estimation using embedded vision and schemes control for automobile
To take relevant decisions, autonomous systems have to continuously estimate their environment via embedded sensors. In the case of 'intelligent' vehicles, the... -
Computer simulation of random experiments and acquisition of probability conc...
The mathematics curriculum claims that simulating a random experiment amounts to the simulation of the underlying probability distribution. We show here that this is... -
Probabilistic life of DA 718 for aircraft engine disks
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Uncertainty quantification of voice signal production mechanical model and ex...
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Stochastic model and generator for random fields with symmetry properties: ap...
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Identification of a prior probabilistic mesoscale model with experimental mul...
We consider a microstructure of a material for which, at mesoscale, the apparent elasticy tensor field is modeled by a random tensor field and, at macroscale, the... -
Coding-based informed source separation: Nonnegative tensor factorization app...
International audience -
Coding-based Informed Source Separation: Nonnegative Tensor Factorization App...
Informed source separation (ISS) aims at reliably recovering sources from a mixture. To this purpose, it relies on the assumption that the original sources are...
