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Current part build accuracy of stereolithography processes needs to be improved because part inaccuracy and distortion still limit the processes' application to other areas.
This paper focuses on increasing build accuracy by optimally designing the process parameters.
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Only 10 of these mapped markers hybridized to more than one contig signifying low copy-number, accuracy of the genetic map through additional evidence in the independent physical map build, and accuracy of the BAC assembly.
However, it is computationally inefficient to build an accuracy RF model for high dimensional data.
Finally, the performances of the developed analytic models for estimating setups and setup time are evaluated in the experimental design, and a simulation model is built for accuracy comparisons with the analytic models.
In this paper, we employ boosting classifier instead of single classifier to build a high accuracy for the pattern recognition.
While it is possible to apply existing finite difference reservoir simulators, such models can be time consuming to build and the accuracy of the results depends on the grid and the well model.
Moreover, markers with low information content are unlikely to be included when assigning markers to linkage groups using AUTOGROUP, increasing build speed and accuracy.
Since videos have multi-modality, it is important to use multiple features to build a high-accuracy multimedia event detection system.
Repeating such random trials 1,000 times and calculating average accuracy (81.3 ± 1.3%), we chose a result approaching average accuracy to build model and plot ROC curve which allowed for a true positive rate TPR = 74.71%, a false positive rate FPR = 8.62%, and area under the curve AUC = 0.8627.
We focus on two areas to build simulations of increased accuracy:.
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