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Repeat time stamp random case study following process modifications were used for comparison.
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It involves non-random case studies of two teachers and their classes.
According to a comparison of the proposed additional sampling optimization method with spatially even sampling method and spatially random sampling method, the case study demonstrated that the proposed optimization method based on the error index is superior to the other methods in improving the prediction precision of soil contaminant grades and that its performance is stable.
A filler beam railway bridge was selected as case study and random variables were identified.
This research investigates human error in maintenance activities as a major cause of random failure events, using a case study from the biopharmaceutical industry.
Based on the proposed algorithm and through direct perturbation analysis of random variables, we conducted a case study of earth slope reliability with complete consideration of soil uncertainty and spatial variability.
As a case study, the random vibration characteristics of an ICE-3 high-speed train traversing a seven-span continuous girder bridge simultaneously excited by track irregularities and traveling seismic waves are analyzed.
Case II: result: pseudo-random number sequences: The second case study represents the complete 3-state access for a SanDisk 8 GB class 4 SDHC card.
Case II: pseudo-random number sequences: The second case study has been performed for testing the proposed controller for SDHC card.
The case study illustrates that random sampling, which is considered the gold standard, is not necessarily the optimal sampling strategy.
A random simulation example and a real-life case study are used to demonstrate the effectiveness of the proposed approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com