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A multistep advective predictor has been developed within the context of projection schemes for incompressible flows.
Complementarily, the role of each predictor has been evaluated through response curves (Lombardo et al. 2015).
Recently, the robustness in of the Smith predictor has been great issue.
The Smith predictor has been used to improve the closed-loop performance for systems with time delays.
In this method, the predictor has been utilized to estimate the future state variables of the controlled system to compensate for the time-varying delay.
Among younger adults, one behavioral factor consistently linked to risky driving is personality, but this predictor has been overshadowed by research on cognitive, perceptual, and motor processes among older drivers.
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A decision-directed channel-tracking algorithm based on the proposed RML method and a simple one-step ahead channel predictor have been developed to overcome the delay effect of the decision-directed scheme under fast fading channel.
Recently an international competition among AD predictors has been organized: "A Machine learning neuroimaging challenge for automated diagnosis of Mild Cognitive Impairment" (MLNeCh).
This implies that, before 1977, only the average age of first-time mothers in different years was used as predictors, while after 1977 a richer set of predictors has been included.
Previous research has documented various psychosocial risk factors with influence on outcome in low back pain (LBP) patients, but the value of clinical predictors has been less well documented.
Although studies using high-throughput transcription profiling of pretreatment biopsy samples have attempted to identify such predictors, the performance of these predictors has been mixed [2].
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