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Ensemble analysis of the ANN and SVM predictions of live sawgrass biomass not only made the estimation more reliable, but also generated an uncertainty map to identify the regions with a robust biomass prediction, as well as challenging areas for biomass quantification.
Secondly, the accuracy of results improves, as the insignificant nodes from the PPR calculation were reduced, which made the estimation of node i to e more accurate and realistic.
However, differences between the included herds made the estimation of these factors not possible.
The stable regression coefficients then made the estimation of effect more reliable.
They considered treatment to be overrated, which made the estimation of patient benefit even more difficult.
The death surveillance sites were distributed in all areas of Guangdong, which made the estimation more representative and precise.
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Model nonlinearity makes the estimation of parameter and the statistical analysis of parameter estimates more difficult and more challenging.
To make the estimation robust, we introduced a dead-zone and normalization algorithm in the RLS estimator.
The high uncertainty and nonlinearity of the entry dynamics make the estimation a very challenging problem.
Climate change influenced rainfall characteristics makes the estimation of these pollutants in stormwater quite complex.
Use of this integrated unit, makes the estimation of soil loss easy, rapid and accurate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com