Sentence examples for models that recognizes from inspiring English sources

Because deterministic models do not handle uncertainties associated with these variables, a geostatistical approach is used because its foundation is probabilistic theory (covariance models) that recognizes these inevitable uncertainties.

In estimating future travel demand, researchers are now using statistical models that recognize new highway improvements induce new trips.

Two- and four-state reliability models that recognize the operating characteristics of base load units and peaking units are presented and compared in this study.

There is a need for usable and useful models that recognize this reality and support the engineers in a continuous effort of choosing which requirements to accept and which to dismiss off hand using the goals and product strategies put forward by management.

"This leading-edge partnership reflects WMG's commitment to establishing new and alternative business models that recognize the value of music for our artists," said Rob Wiesenthal, Chief Operating Officer/Corporate, WMG in a statement.

To better distinguish basic Rabs from those that developed later, we supplemented the generated HMMs with 15 further models that recognize metazoan-specific types, and especially those that were difficult to place.

It's about having a service model that recognizes their patients have a wide array of healthcare choices and, therefore, necessitates employing strategies that build strong professional relationships.

Although the underlying process is continuous, the structure of the data calls for a model that recognizes its discrete nature.

Such resource commitments necessitate a university-supported and sustainable business model that recognizes the possibility of achieving globally-significant educational outcomes [ 37].

Confirmatory factor analysis was used to assess the content validity of a pre-specified factor model that recognizes seven safety factors of the SAQ.

Our algorithm is based on a simple, elegant model that recognizes ILS as a source of incongruence, but avoids the computational overhead of a full coalescent model and does not require estimates of ancestral population sizes and speciation times.