Sentence examples for verification efficiency from inspiring English sources

The paper presents techniques being developed in order to improve verification efficiency in the FPGA-in-the-Loop environment.

The results indicate that more data in the observation vector allows to gain better verification efficiency, thus the second variant is better than the first one.

The overall comparison of the obtained results of the r-r modeling indicates that the EANN could outperform the conventional feed forward neural network (FFNN) model up to 13% and 34% in terms of training and verification efficiency criteria, respectively.

We propose two strategies for improving the verification efficiency, the first by applying correctness-preserving transformations and the second by exploring the degree of parallelism characteristic to the system.

This verification device makes up for original verification deficiencies of disassembly sky screen target, saves test time, increases the verification efficiency of sky screen target, and has a broad range market demand.

Furthermore, we provide a simulator that conducts the various functions using the energy-consuming patterns and present the simulation results for the verification and efficiency of our model.

This paper is aimed at verification of efficiency of four methods designed for damage detection using Lamb wave measurements performed in variable environmental conditions.

Building energy simulation tools are now being used in a number of new roles such as building operation optimization, performance verification for efficiency programs, and – recently – building energy code analysis, design, and compliance verification in the residential sector.

The main contribution of the paper is a detailed presentations of a model for the ACC and verification of its efficiency.

The verification of the efficiency of feature subsets is carried out using k-NN and SVM classifiers applying 10-fold cross-validation on two independent speech corpora.

This paper presents the development, scope and application of the simulation-optimization approach for remediating contaminated groundwater including reliability and efficiency verification to find globally optimized solutions to groundwater remediation problems.