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In the experiment, the model shield machine was placed at a depth of 75 cm (Fig. 5).
For the first experiment, the model included the fixed effects of sugarcane neutral detergent fiber digestibility (NDFD), conservation method (CONS), and their interaction.
For the second experiment, the model included the fixed effects of level of concentrate (DIET), sugarcane NDF digestibility (NDFD), and their interaction.
Based on the good agreement with experiment, the model is then used to investigate the effects of the pitching velocity on boundary layer events and on hydrodynamic loadings.
In this experiment, the model was trained on datasets obtained within the first 2 days, and the confusion matrix is obtained in a separate test including three corridor sections.
In agreement with experiment, the model predicts the time for the solid skeleton breakdown and that the peak load increases with increasing ram speed and with decreasing fraction liquid.
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In experiments, the model was evaluated using metrics of precision and recall.
Following some pilot experiments, the model was standardised as follows.
Compared to the experiments the model generally under-predicted the mean crushing force.
Through tenfold cross-validation experiments, the model is demonstrated being able to apply to bus traffic forecast.
To minimize process perturbation by identification experiments, the model for controller design was derived from a rigorous LNG simulator.
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