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The size distributions of particles containing Pb were successfully estimated, and the enrichment behavior of heavy metals in sub-micron particulates could be clearly observed.
Nonmeasurable substrate concentrations were successfully estimated by Kalman filtering using industrial data and thus, obtained new data sets were used for training the neural network model.
In the model validation, a good agreement between predicted values and experimental data was observed (RMSE = 0.344, bias = 0.997 and accuracy = 1.017), indicating that the growth parameters of W. viridescens in vacuum-packaged ham were successfully estimated with OED.
The method was successfully applied to real-life case studies, in which inflow and infiltration were successfully estimated for three typical rainfall events with total rainfall volumes of 6.25 mm (light), 28.15 mm (medium), and 178 mm (heavy).
The amounts of these metabolites were successfully estimated (Table 1) by calculating the area of each peak.
At first, we applied auto PO regression models to EQ3-3.9, and parameters were successfully estimated, whereas parameters of NB based GARX did not converge.
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The overall hydrogen-production rate was successfully estimated.
It is seen that the pan evaporations can be successfully estimated by the LGP method.
No more than two parameters could be successfully estimated at the same time.
It was concluded that monthly pan evaporations could be successfully estimated by the FG approach.
It was concluded that monthly pan evaporations can be successfully estimated by the ENN method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com