Sentence examples for performance can be evaluated using from inspiring English sources

Table 2 PaRouting values of simulation scenario protocolss Values Netwofk siMANETor NS-2.35 Routing performanceODV, Fuzzy AODV, MBcanWireless Mac Layer protocol IEEE 802.11 Number of nodevaluatedusingon area 900 × 900 manyreless transmission range 250 m Mobility model Random waypoint model Pause time 10-20-30-40-50-60-70-80-90-100 s Simulation time 300 s Interface quantitative0 Size of packet 512 bytes/packet Application Layer FTP.

In a retrieval case, the performance can be evaluated using the average precision (AP) metric, or the so-called average normalized modified retrieval rank (ANMMR), which is defined in the MPEG-7 standard [44].

In the case of a binary predictor diagnostic test, performance can be evaluated using the measures of sensitivity and specificity.

Consider ranking images based on their relevance scores of semantic label ζ to be a single semantic image retrieval, its performance can be evaluated using precision, P, and recall, R (Baeza-Yates and Ribeiro-Neto, 1999).

Moreover, for the radial arrangement, mixing performances can be evaluated using a dimensionless number irrespective of flow rate and slug length, based on the novel method discussed in our previous paper, which proposes the modified Peclet number Pe∗ to estimate mixing rates and design liquid slugs to obtain desired mixing rates.

The performance of communication systems can be evaluated using various distinct techniques and paradigms, e.g. queuing theory, simulation or worst case analysis.

The thermal performance of bricks with PCM can be evaluated using either numerical analysis or directly using experimental measurements.

This result already indicates that the most important information on behalf of the membrane performance, the permeate flow velocity can be evaluated using deionized water as feed.

As suggested in [13], the performance of optical flow estimation algorithms can be evaluated using gradient-normalized RMSE metric.

The probability of collisions and other performance indicators of the LoRaWAN standard can be evaluated using either numerical simulations or analytical derivations.

Performance on samples outside the training sets can be evaluated using the ToothKit software that is supplied with the best generative and non generative classifiers that are asterisked in Table S2 (see ToothKit).