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In terms of visual modelling we evaluate non-gesture-models, length modelling and universal transition models.
Combining a qualitative economic analysis with insights from sociological research on direct marketing and simulation results from agent-based modelling, we evaluate how well the optional market premium has performed in setting incentives for demand-oriented RES production and efficient marketing of RES electricity.
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By means of the proposed model, we evaluate throughput performance of DCF in multihop wireless networks.
Finally, for both models, we evaluate our algorithms on pairs of plant genomes.
The second reception model we evaluate is the SNR-based reception model.
For each fitted model, we evaluate the log-likelihood of each sequence.
To present the effectiveness of our population growth model, we evaluate our proposed model from three aspects.
With the trained models, we evaluate our method on the test data from both HumanEva and IXMAS datasets.
To test the modeling capabilities of the constructed language models, we evaluate perplexities on the test text in comparison with their perplexity on the training text.
Based on our analytical models, we evaluate the delay and throughput performance of the real-time applications under various traffic load conditions and system parameter changes.
Using a mathematical model, we evaluate the network survivability performance of MoSN from attack arriving, attack propagation, and through to the process of repairment finished.
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