Sentence examples for multiple concurrent time-series from inspiring English sources

2.4, over multiple concurrent time-series streams at high-speed rates under DTW and data normalization.

More specifically, these two methods can deal with an important scenario in streaming applications where incoming data are from multiple concurrent time-series streams at high-speed rates, and there are numerous prespecified patterns for query.

Furthermore, SUCR-DTW can deal with multiple concurrent time-series streams at high-speed rates, because the method employs multi-threading and a combination of techniques so as to accelerate the performance of the similarity search.

These studies typically fit a Poisson log-linear model to concurrent time series of daily mortality or morbidity, ambient air pollution, and meteorologic covariates.

Multiple regression time-series modelling is one such indirect strategy often used in disease burden assessment [ 11– 13], using one or more time-series of independent variables to fit a function to a time-series of a dependent variable.

Applicability of multi-threading for similarity search over multiple time-series streams.

Furthermore, multivariate (vector) autoregressive (MVAR) models include lags of multiple time-series.

In recent years, the number of miRNA experiments involving multiple time-series has largely increased [ 14].

The clinical effectiveness of P4P is presented in Additional file 3, as assessed through randomized, concurrent plus historical and time-series design studies (47 studies in total).

The use of multiple nonlinear time series techniques, however, suggests an alternative interpretation, namely deterministic chaos.

The trial design is a randomised multiple interrupted time series.