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These predictions can reduce the requirement for experimental validation of low-priority candidate mutations with minimal changes in information content.
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The methods for epitope prediction can reduce the range of possible epitope and bring us much less workloads for epitope screening.
Existing methods can be effective but suffer from low specificity of predictions, which can reduce the willingness of experimental biologists to act on the results.
In the P-DSA, the channel correlations are considered, therefore, the number of sensing channels can be reduced through the channel prediction, which can reduce the sensing overhead and increase the throughput.
From integrated circuit aspect, Liu et al. [6] derive rapid algorithm in IDCT, deblocking filter and prediction, which can reduce the processing cycles and reduce the memory size and access frequency.
In comparison with existing several state-of-the-art works, experimental results have shown that the NIPE technique with the new noncausal prediction strategy can reduce the embedding distortion for the same embedding payload.
The experimental results have shown that the NIPE technique with the new non-causal prediction strategy can reduce the embedding distortion for the same embedding payload, but it is not robust.
The adoption of locally validated clinical prediction rules can reduce variability in assessment and management of smear negative tuberculosis.
The comparative results were used to assess whether the infusion rate prediction model can reduce the total fluid volume and resuscitation ratio or prevent the excessive fluid infusion.
The reliable prediction of strength can reduce the cost and time in design and avoid the waste of materials caused by a large number of mixture trials.
In other words, we can reduce prediction errors in one of two ways: we can either change predictions so that they match (exteroceptive) sensory samples, or we can change the samples through action, to make them match (proprioceptive) predictions.
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