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Additionally, the accuracy of the proposed approximate teletraffic model is evaluated for different evaluation scenarios.
Sentinel species, which readily accumulate pollutants and therefore serve as indicators of ecosystem health, have been evaluated for different environments, including terrestrial, freshwater, and marine habitats.
This models could be investigated and evaluated for different contexts.
The results are evaluated for different system and fault conditions.
The prediction performance is evaluated for different prediction intervals.
This effect is evaluated for different characteristic spotting distances.
The kinetic parameters have been evaluated for different temperatures.
The computation studies were also evaluated for different linear systems.
The REWL algorithm, with, was evaluated for different node densities, with the two different frequencies.
Finally, the transmission performance of the proposed method is evaluated for different traffic scenarios.
After training steps, generalization error was evaluated for different features and network conditions.
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