Sentence examples for modeling approaches namely from inspiring English sources

Broadly speaking, building energy use prediction can be classified into two categories based on modeling approaches namely engineering and Artificial Intelligence (AI).

The student model used in DEPTHS is a result of combining two widely known modeling approaches, namely, stereotype and overlay modeling.

The first issue was tackled by adopting an optimization algorithm, and the second was addressed by comparing the performance of three alternative modeling approaches, namely the S-system, the Michaelis-Menten model and the Mass-action model.

Differences in contrasts of interest were analyzed statistically by unsupervised and supervised modeling approaches, namely Principal Component Analysis and Linear Model of analysis of variance.

Three modeling approaches, namely types A, B and C, are classified according to their drag coefficient closure and mass transfer equations.

This fatigue damage model is then used in conjunction with a finite element continuum damage modeling approach, namely, successive initiation, to predict the damage and crack initiation sites and propagation paths in bimodal alloys.

These profiles have been compared to the simulated ones with three different modelling approaches, namely a systemic approach, CFD and compartmental modelling.

Additionally, two ensemble modelling approaches, namely greedy and stacking optimisation, have been integrated from the R package caretEnsemble [31], which allows the combination of models to form ensemble models, which have proven to be less error prone [28].

This indicates the requirement of an alternative modeling approach, namely statistical modeling, based on the available data on the incidence or prevalence of the disease and other related factors.

In this study, it is aimed to develop a data-driven forecasting tool for tight-gas sands, which are based on artificial neural networks that can complement the physics-driven modeling approach, namely numerical-simulation models.

In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented.