Sentence examples for time series predictor from inspiring English sources

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When a user request belonging to a specific priority class arrives, the admission control algorithm uses the time series predictor to forecast the average arrival rate of the class for the next interval, computes the average waiting time for the class for the next interval, and determines if the incoming user request is admitted to the server.

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We summarize the left-hand side of the equation as y i, which we refer to as the time-series response variable, and approximate it as a linear combination of the x j's, which we refer to as the time-series predictor (i.e. design variable).

Eight nuisance covariates (time-series predictors for white matter, cerebrospinal fluid, and the six movement parameters) were sequentially regressed from the time-series.

According to our research that is presented in this paper, we can recommend the QNU predictor with MLM algorithm as a more suitable method than MLP or other reviewed approaches for fast respiratory time series prediction.

In hydrological time series prediction, singular spectrum analysis (SSA) and discrete wavelet transform (DWT) are widely used as preprocessing techniques for artificial neural network (ANN) and support vector machine (SVM) predictors.

Time series prediction.

Almost all cortisol-behaviour studies, even prospective ones, have focused on one time series measure as a predictor or correlate of a behavioural measure or outcome.

* P-value < 0.05, statistically significant In the final model, physician per 100,000 populations, skilled birth attendant and postnatal care coverage were found the only predictor time series variables that had statistically significant association with Maternal Mortality Ratio (Table 8).

Fig. 2 reveals time series of weekly weather predictors and dengue cases.

Whereas early ictal fMRI studies relied on visual observation of the patient for this purpose [ 39– 41], the advent of time-locked EEG recording during fMRI, and subsequently video, have facilitated event detection and enriched fMRI scan time series labeling on which predictors of the BOLD changes can be based [ 42].

In particular, we focused on dense time series of land surface temperature as predictors for urban and rural air temperature.

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