Exact(16)
Results indicate that the models were able to satisfactorily predict the torque measured by the msFBR.
Results indicate that the models are applicable to predict E∗ of asphalt mixture.
High correlations and values of NASH together with low relative bias indicate that the models were efficiently calibrated.
The results indicate that the models provided similar conclusions about key aspects of PD, but differed with respect to some results.
It may indicate that the models trained on frame-based features do not capture the structure of the acoustic classes sufficiently.
Our results indicate that the models can take advantage of both thread and data level parallelism to provide significant speedups on multicore architectures.
Similar(44)
Positive values indicate that the model is too warm, and negative values indicate that the model is too cold.
They also indicate that the model should fit the purpose.
Results indicate that the model can predict the behavior accurately.
Simulation results indicate that the model mimics real life behavior.
Our results indicate that the model performs very well.
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Justyna Jupowicz-Kozak
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