Sentence examples for by utilizing a statistical from inspiring English sources

Brooks et al. [14] proposed an algorithm that would detect the node replication attacks by utilizing a statistical model based on the occurrence number of keys used to authenticate the nodes in wireless sensor networks, but the method can only be applied successfully with certain random key pre-distribution schemes.

A theoretical model utilizing a statistical approach to predict the cleavage of crosslinks within the network was used to predict the complex erosion profiles produced by these hydrogels.

In this regard, it is our contention that improved in situ intraoperative detection of F-FDG-avid tissue sites with a gamma detection probe system can be attained by taking advantage of the increased probe counting efficiency offered by the K-alpha probe design [ 21] and by utilizing a variance-based statistical analysis schema [ 22] with the three-sigma criteria [ 23, 24].

In order to supply quantitative data from all of the selected studies and to minimize the variance of the summary SMDs and 95% CI, we performed the current statistical analysis by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method).

In order to supply quantitative evidence of all selected studies and minimize the variance of the summary ORs with 95% CI, we conducted the current statistical meta-analyses by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method) of individual study results under the situation where data from independent studies could be combined.

UMVAD improves the classical statistical model-based VAD by utilizing an adaptive threshold to replace the original fixed one and modifies the unbiased MMSE-based noise estimation approach using an adaptive a priori speech presence probability calculated by entropy instead of the original fixed one.

We utilized a statistical method EMMA [29] that corrects for population structure and genetic relatedness between inbred strains by estimating a kinship matrix.

All the aforementioned tools utilize a statistical approach that is based on assessing enrichment of an input set in an input ranked list by quantifying the enrichment obtained at various cutoffs applied to the ranked list.

The effectiveness and accuracy of the model were checked by utilizing different statistical and graphical techniques.

Validity of the presented models has been evaluated by utilizing several statistical parameters.

By utilizing various statistical models to quantify the return levels of extreme significant wave height this study seeks to achieve two objectives: the updating of the state-of-the-art concerning extreme wave analysis along the Italian coast and the creation of a long-term predictive model.