Sentence examples for model using time from inspiring English sources

The developed model using time series flow data of previous 3 days was validated using the actual/observed flow data of September 23 , 2012

Any prediction model using time intervals may be difficult to apply in practice during CPR in the ED.

Since oscillatory behavior was not an explict input into our modeling effort, we considered this a novel prediction, and undertook an experimental validation of the model using time series measurements of cAMP signaling for two diploid yeast strains.

We enhanced the model by relaxing the Markov assumption; memory was built into the model using time dependent probabilities of rupture according to an estimated age distribution of men aged 65 or more having emergency surgery.

Repeated physiological measurements over time were compared between groups with a linear mixed model using time as a continuous variable, group and their interaction as variables with fixed effects, and patient as variable with a random effect.

The cross-sectional associations of PH, SRH, and FH with depressive symptoms in diabetes were examined by estimating the path coefficients of the proposed path analytic model using time 1 data only (see Figure  1).

(a) DBN model using time-domain vibration signal.

Both DBN model using time-domain signals and FFT-DBN model using frequency distribution of the signals are investigated, and the comparison results are provided and discussed.

From the comparison, DBN model using time-domain signals has less classification rates in various architectures than the one using frequency distribution of the signals, which means DBN architecture cannot well model signals that correlate between input units.

This control enables state variables to accurately follow the dynamics of a reference model using time-delayed information of plant input and output information within a few sampling periods.

The data assimilation framework was originally developed and successfully implemented in geophysics to predict geological phenomena such as El Nino-Southern Oscillation by integrating a high-dimensional computational model and limited observed data [36] and is considered to be applicable for the construction of a reliable signal transduction model using time-dependent phosphoproteomic data.