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Table 5 Correlation coefficients of different outputs.
"That's quite a simplistic formula, a typical industrial turbine generates between two to 2.5mw but turbines generate a range of different outputs," he said.
Ill-conditioned processes often produce data of low quality for model identification in general, and for subspace identification in particular, because data vectors of different outputs are typically close to collinearity, being aligned in the "strong" direction.
Based on the Shannon expansion, one can partition a given circuit into two sub-circuits in a way that the number of different outputs of both sub-circuits are reduced, and then encode the output of both sub-circuits to minimize the Hamming distance for transitions with a high switching probability [20].
Because Bayesian algorithms might provide several different results with the same experimental dataset, feeding the algorithm with a template of the network will diminish the number of different outputs and increase their accuracy.
In the other hand, since Bayesian algorithms might lead to several different results using the same experimental dataset, we also feed the algorithm with a structural network template to decrease the number of different outputs and to increase its accuracy.
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This approach allows for the generating a broad range of different output spectral distributions of almost arbitrary shape.
The system allows to configure the resulting number of different output instances designed for different applications during the processing in a generic manner.
The paper presents the results obtained from the application of different output-only modal identification techniques to ambient response data collected in two dynamic tests of a cable-stayed bridge and the subsequent finite element model correlation analysis.
In this paper, a new extendable multi-input step-up DC DC converter (MISUC) topology is proposed to efficiently interface multiple (renewable/non-conventional) energy sources of different output characteristics with a common load.
To handle the case of different output label spaces, this method also extends work from [53] and uses a Bayesian-based method to model the relationship between the differing output spaces as to unify them through re-scaling and calibration of the two output variables.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com