Sentence examples for modeling methodology which from inspiring English sources

The reactor is nodalized to employ the lumped parameter modeling methodology, which is mathematically described by differential algebraic equations (DAEs).

demonstrated a novel integrative modeling methodology, which promises to enable researchers to build comprehensive models of individual cells (2).

Next we discuss the data modeling methodologies, which is followed by a data model description we used for the storage of the real-time temporal data of ANT+ sensors in the healthcare domain.

We present a data modelling methodology, which introduces a novel biologically inspired universal generative modelling approach called Hierarchical Spatial Temporal State Machine (HSTSM).

This paper presents a general modelling methodology which utilises the higher bandwidth and number of signal levels of a pulse-multisine signal to estimate the battery dynamics and non-linear characteristics without the need of a 3D look-up table for the model parameters.

This enables a formal model-engineering methodology which combines the convenience of intuitive modeling in Timed Rebeca with formal verification in Real-Time Maude.

In this context, we present a method of software component reuse as a model (or methodology), which facilitates the semi-automatic reuse of web services on a cloud computing environment, leading to business process composition.

This paper presents a novel offline thermal error modelling methodology using finite element analysis (FEA) which significantly reduces the machine downtime required to establish the thermal response.

Thanks to these models, a design methodology, which takes advantage of the bulk terminal, allows to turn this well-known body-effect drawback into an analog advantage, giving thus an efficient alternative to overcome the design constraints of the CMOS VLSI wireless mass market.

The mean velocity model utilizes the previously-developed QUIC Dispersion Modeling System platform and methodology, which relies on empirical parameterizations together with the principle of mass-conservation to achieve results that are comparable to traditional computational fluid dynamics models, but with far less computational cost.

In this article, we have demonstrated a methodology which, by modelling the analysis and decision process of an experienced scientist, can substantially speed up validation of a large scale phosphoproteomics dataset by processing the data with 80 95% confidence in the positive validations and with a high sensitivity.