Sentence examples for modeling frameworks that from inspiring English sources

The authors should consider modeling frameworks that allow conclusions to be drawn from highly confounded and multivariate datasets.

Future studies should explore other emissions modeling frameworks that better capture the effects of congestion on emissions, linked to more detailed traffic flow models.

In addition, newly devised modeling frameworks that address both spreads among different model structures and parameter settings have contributed to evaluate possible ranges of the uncertainty in ECS and low cloud feedback.

This further supports the need to have multiple modeling frameworks that can complement each other in providing important information to characterize an emerging epidemic and its associated risks and impact.

However, it is also clear from our work that significant progress will be made only by developing and analyzing modeling frameworks that are able to realistically capture key linkages between climate and pathogen transmission processes.

The first two structures are estimated within a recursive bivariate probit modeling framework that accommodates error covariance.

This paper attempts to address these challenges by proposing a multilayer hybrid modeling framework that supports the detailed understanding and holistic analysis of critical infrastructure systems.

An integrated reactor modeling framework that enables seamless communication, coupling, automation, and continuous development brings significant new capabilities and efficiencies to the practice of reactor design.

Here, we present a novel gap-filling modeling framework that uses machine learning to select explanatory variables, such as continuous traffic counts and temporal variables, and then constrains models separately for spatially classified subsets of the data.

This paper contributes to this policy debate by providing an integrated economic-hydrologic modeling framework that captures the socio-economic and environmental effects of various policy initiatives and climate variability.

Our analysis also informs advancement of a unified dose response modeling framework that is applied consistently to cancer and noncancer effects proposed by the NRC (2009).