Sentence examples for models motivated from inspiring English sources

We characterise the spatial dependence of storm peak significant wave height using three models motivated by max-stable processes for locations in the northern North Sea.

Improvements in the horizontal resolution of global ocean models, motivated by the horizontal resolution requirements for specific flow features, has advanced modelling capabilities into the dynamical regime dominated by mesoscale variability.

Press 1997) (stating that in identifying events, it is important "to impose some discipline on the specification search by a priori theoretical considerations" which "may be in the form of well-articulated mathematical models of economic behavior, or behavioral models motivated by psychological phenomena, or simply heuristic rules of thumb based on the judgment, intuition, and past experience".).

Simplified moment-rotation models, motivated from ASCE 41 characterizations, defined with pre-peak flexural rigidity degradation, post-peak plateau and strength drop are explored by equating the area under the backbone moment-rotation response (energy) between the available data and simplified models.

Papers may make a methodological contribution; contribute by developing and analyzing novel models motivated by current industrial problems and case studies.

We incorporated only a narrow subset of possible features into our predictive models, motivated in part by prior research into the relationship between mood and visual preferences.

The increasing range of complex applications that call for population balances based models motivates the development of efficient and robust solution techniques.

The widespread use of bilinear models motivates the need to develop their parameter identification algorithms.

The more significant distinctions, however, lie in the competing business models motivating each approach and the economic fallout that each implies.

As a consequence of such an infrastructure, huge design spaces may easily be spawned even for small input models, motivating the adoption of meta-heuristics and multi-objective optimization approaches.

The different steady state solutions predicted by different models motivate the need for a comparative assessment of their relative merits and strengths.