Sentence examples for model which introduces from inspiring English sources

The second model is a non-linear extension of the first model which introduces external load forces.

This paper describes in a formal way a data schema model which introduces temporal and versioning schema features in an object-oriented environment.

In this paper, a multistage optimization model, which introduces a dynamic notion of sustainability, is established to identify a sustainable liquid fuel portfolio subject to evolving technology and environmental regulations.

The internal linear model representation of the nonlinear plant for conventional robust controller is replaced by the linear parameter varying (LPV) model, which introduces transparency while offering distinct advantages for nonlinear model-based control.

The agreement between the model, which introduces no additional fitting parameters, and the experiments is within ±10% for all heat transfer data and ±15% for the majority of the pressure drop data.

A new design of conjugated heat transfer in double-pass parallel-plate laminar countercurrent operations subjected to asymmetric wall heat fluxes has been investigated theoretically, and the analytical results obtained with superposition model which introduces the an eigenfunction expansion in terms of power series for the homogeneous part and an asymptotic solution for the inhomogeneous part.

The new Apple TV, called Apple TV 4K, it is an iteration of the last model, which introduced a touch pad remote control.

He et al. [21] proposed a new Lattice Boltzmann model which introduced an internal energy distribution function to simulate the temperature field, and the result has a good agreement with the benchmark solution.

This was done by designing a probabilistic graphical model which introduced a new dense layer of variables, and taking into account the predicted intensity of the signal in probes that are at ends of nucleosomes.

The network accounts for variables not foreseen in numerical modelling which introduce error in approximating sensor response.

This paper presents two approaches to gas distribution modelling, which introduce a time-dependency and a relation to a time-scale in generating the gas distribution model either by sub-sampling or by introducing a recency weight that relates measurement and prediction time.