Sentence examples for time-series input from inspiring English sources

This capability depends on the optional linkage to time-series input files that enables VP to simulate mixing zone and far-field parameters for long periods.

Differentially expressed isoforms were estimated using Cufflinks v1.30 while treating early pre-implantation embryo samples as a time-series input.

This controlled-seed method significantly accelerates the Sobol indices computation under time series input, and makes it computationally affordable.

The proposed framework is developed for two types of model inputs: random variable input and time series input.

A novel controlled-seed computational technique based on pseudo-random number generation is proposed to efficiently represent the natural variability in the time series input.

However, the experiments show that with efficient market it is not easy to make profits using technical indicators or time series input neural networks.

A Bayesian autoregressive moving average (ARMA) approach is chosen to model the time series input due to its capability to represent both natural variability and epistemic uncertainty due to limited data.

ICEEMDAN was applied to improve the hybrid model's forecasting accuracy, addressing non-linear and non-stationary issues in time series inputs by decomposing statistically significant historical G data into intrinsic mode functions (IMF) and a residual component.

In this paper, after a brief review of a method of generating time series inputs for any given set of n surface locations having space coordinates xi and yi (i = 1, 2, …, n), compatible with the observed wave propagation properties, we present some of the results obtained in a study of coherency and apparent velocity of several earthquakes recorded at Smart-1 array.

Defining Fint = ǀBintǀ, we then compute the component of the magnetospheric field and its induced counterpart along the internal field direction: (2 where Bext is the magnetospheric field component of POMME-6, which depends on more than a year of continuous time series inputs of past Dst and F10.7 measurements.

Flood-forecasting models are thus required to provide simulations at high temporal resolutions (1 h–6 h), although time-series of input and runoff data with sufficient lengths are often only available at the daily temporal resolution, especially in developing countries.