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There are four possible outcomes when comparing the results from in silico methods with experiments: true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN).
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Validation of our method with experiments in offline, real-time and a simulated environment, shows its capability to identify the human body during SiSt and StSi with an accuracy of 100% and mean response time of 50 ms (5 sensor measurements).
In Section 4, we verify the proposed method with experiments on publicly available MSTAR database and compare with the classical SRC method and the original JSRC method.
The cold semi-precision forging of a multi-row sprocket was investigated using upper-bound (UB) and finite element methods combined with experiments.
We validate our methods with numerical experiments.
Transferability of resistance determinants was assessed by phenotypic methods with conjugational experiments.
The methods were tested on five tools with different helix angles and predictions of the methods were compared with experiments.
I. Review of methods and comparison with experiments.
In order to complete the study, other DEM is discussed and numerical results of both methods are compared with experiments in scale model.
We illustrate the performance of our method with numerical experiments.
We evaluated the proposed method with four experiments and compared it with the available competing prediction methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com