Sentence examples for iterative evaluations from inspiring English sources

Expert inductor designers rely on iterative evaluations with electromagnetic simulators, which, properly configured, are able to yield a highly accurate performance evaluation.

Phased approaches, also referred to as "tiered" or "iterative" evaluations, are commonly used in risk assessments as a means to balance resources against the desire to reduce uncertainty in the assessments.

In fact, the development process relied to large extent on the input of the UWG as well as the iterative evaluations to define the portal for non health professionals.

An agglomerate hierarchical clustering-based iterative evaluation algorithm is designed for iteratively eliminating occupancy diversity.

This network allowed iterative evaluation and refinement of LUPAS for scenario analysis on technical and policy changes.

Here, the framework went through iterative evaluation, reflection and revision cycles of the individual study, spanning 3 years.

In addition, an iterative evaluation throughout the process of technology development can result in a large amount of useful information being gathered from users.

The cellular automaton formulation addresses the effect of damage initiation, propagation and coalescence through the iterative evaluation of individual cells based on their current state and the current states of their eight neighboring cells.

As described above, the SAA optimization process starts with a first FLC FC 0 as an initial solution and begins the iterative evaluation of the generated new solutions by an objective (cost) function Of.

We propose a novel form of nonlinear stochastic filtering based on an iterative evaluation of a Kalman-like gain matrix computed within a Monte Carlo scheme as suggested by the form of the parent equation of nonlinear filtering (Kushner Stratonovich equation) and retains the simplicity of implementation of an ensemble Kalman filter (EnKF).

These requirements resulted from the iterative evaluation of citizen science tools with end users through three design experiments, seven structured interviews with users of citizen science and community platforms, and ongoing consultancy by a group of experts in technology-enhanced learning, online pedagogy, and user experience.