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A procedure for assessing the required separation distance with or without considering possible uncertainty in structural properties was presented based on the reliability methods and random vibration theory.
Existing subgraph sampling methods can be roughly classified into two types: graph traversal methods and random walk based methods.
While The Anova tests between the AL methods and random provided P values lower than the 5%% of the significance level; thus the difference between the AL methods and random is statistically significant, confirming that our AL methods performed better than random also in terms of false positives of the predictive capabilities.
While the Anova tests between the AL methods and random provided P values lower than the 5%% (alpha) of the significance level; thus the difference between the AL methods and random is statistically significant, confirming that our AL methods performed better than random also in terms of predictive capabilities.
To support the results presented in Fig. 7 and our claim, we performed several single-factor Anova statistical tests on the TPR rates achieved by the three AL methods and random.
Future approaches may borrow and build on newer techniques from the genomics and other "omics" communities, applied in a multipollutant context, including clustering methods and random forest approaches (Breiman 2001; Siroux et al. 2011).
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In this paper we study five similarity schemes: three of them adapted from existing graph similarity measures, and two adapted from well-known document and vector similarity methods (namely, the shingling method and random projection based method).
The extreme response distributions conditional on wind speeds are determined from the simulation data using global maxima method and random process model method.
Expressions for the mean value and variance of natural frequencies and mode shapes are derived by using perturbation method and random interval moment method.
A frequency-domain solution method for the stochastic micro-vibration response of the smart sandwich beam supporting mass-concentrated equipment is developed based on the Galerkin method and random vibration theory.
There are two methods for estimating along-wind and across-wind loads for chimneys as per IS: 4998(Part 1 -1992 (2003): simplified method and random response method.
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