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Two different models of the output domain of LapD are shown with the eleven sites of pAzF incorporation shown as sticks and color-coded according to structure-based cross-linking predictions.
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A new expression for the modeling of the output signal is proposed depending on the positioning of the MS detector used in the study.
In the process of network training, a linear regression model of the output matrix is reported by the proposed quantile regression to improve the generalization ability.
A new control model of the output capacity was proposed, in which the average suction pressure in an adjustment period was taken as the current pressure to regulate the output capacity.
First developed for delayed linear systems, this approach relies on a modelling of the output time-delay by a 1st order hyperbolic equation, leading to an ODE PDE representation of the system, and on coordinate transformations of the innovative system.
With this data at hand, we created models of the sensors output.
The results permitted the development of a predictive model for the outputs of tube bundles and the optimum operating conditions.
Finally, the ranked list of candidate models represents the output of ProBMoT.
Because our design criteria depend on the process model, we started by fitting a GP model to the outputs of the numerical model available.
Another characteristic of our predictor is the introduction of a probabilistic model to the outputs.
Figure 1 The South Pacific Convergence Zone as observed (a), and as calculated by the multi-model mean of the outputs from CMIP3 (b) and CMIP5 (c).
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CEO of Professional Science Editing for Scientists @ prosciediting.com