Sentence examples for when compared to benchmark from inspiring English sources

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The simulations indicate that neither the collapse potential nor building deformations are significantly affected by splice fracture when compared to benchmark simulations without fracture.

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The CF-Jaccard, CF-Communities, and the Cluster-MWSCS-based techniques have results very close to the benchmark (without statistically significant differences when compared to the benchmark) but less than the three techniques with the best results—WSCS-based, the MWSCS-based, and Cluster-WSCS-based (with differences statistically significant when compared to these three).

For optically thicker flames the P-3 and the FVM with advanced k-distribution methods predict radiation more accurately than the P-1 method with any spectral model when compared to the benchmark LBL PMC.

The vapor liquid equilibrium (VLE) experimental results showed that the relative volatility of neohexane to cyclopentane is enhanced using the N,N-dimethyl formamide (DMF) + [PCNMIM][ClO4] mixed solvents when compared to the benchmark solvent DMF.

Experimental tests confirm the greatly improved stiffness and strength properties (101% and 172% respectively) of the core as a result of spatially grading the lattice cells when compared to a benchmark core with uniform cell size of the same density.

Uranium mononitride has been identified as an alternative fuel with higher uranium density and thermal conductivity when compared to the benchmark, UO2, which could also provide significant economic benefits.

Further, our ns-2-based simulation study makes it evident that FTCSPM in an average improves the packet delivery ratio and throughput by 14.2 and 23%%, respectively, and at the same time, FTCSPM reduces the energy consumption rate, packet drop rate and average end-to-end delay by 18.4, 37 and 28%%, when compared to the benchmark systems like CNBM, PBM and ECNBM.

Antimicrobial assays confirmed the high activity of these peptides, when compared to the benchmark peptide LL-37 (Figure 3B, C).

The authors point out that, according to data from AUTM, the University of Kentucky ranks near the bottom in a number of key metrics of commercialization when compared to its benchmark institutions.

It can achieve about 0.1 0.3 dB average PSNR improvement when the computation consumption is restricted to a specific level as compared with its equivalent Fixed SR algorithm and can achieve about 50 90% computation savings when compared to the benchmarks.

The results obtained using our approaches are encouraging, with statistically significant improvements averaging 5% or more, when compared to the traditional benchmark of the heuristic dynamic programming technique.

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