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To test the significance of ANN model, the estimation of the degree of freedom due to residuals has been detailed.
With the workflow or response surface model, the estimation and optimization of target parameter could be achieved.
We show that for the linearized MHD model the estimation error converges to zero in the L2 norm.
One advantage of our observer is that for the nominal model the estimation error does not grow even when the system lacks observability.
We model the estimation problem as a game between our algorithm (player) and the environment of the program (adversary), where the player seeks to find the longest path through the program while the adversary sets environment parameters to thwart the player.
Thus, for such a grid-based urban hydrological model, the estimation of the Impervious Area Ratio (IAR) of each land use classification is a crucial factor for accurate runoff analysis in urban watersheds.
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Section Estimation model illustrates the estimation model for cloud resource selection.
The use of herd simulation model for the estimation of direct economic benefits of tsetse control.
Klawa, M. & Ulbrich, U. A model for the estimation of storm losses and the identification of severe winter storms in Germany.
The proposed model allows the estimation of probability of relaying for throughput increase and coverage extension.
Only three parameters are retained in the camera model, making the estimation of parameters more efficient.
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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