Sentence examples for metrics were then from inspiring English sources

Area under curve was built for every metric and all metrics were then compared.

Landscape metrics were then derived from the different classified images and compared through a coefficient of variation computing.

Temporally stable and repeatable metrics were then evaluated for redundancy and used to compose MMIs for each region.

Those two metrics were then averaged for each city to determine our top 10.

Standard information extraction metrics were then calculated including recall (R), precision (P), and F-measure [8], [43].

These metrics were then scored and combined to calculate the IBI on a 100-point scale.

Sustainability metrics are then connected to the axiomatic process model.

The search for the 'best' system under these metrics is then formulated as a constrained optimization problem.

The impacts of these changes on traffic, walkable access to amenities, and other metrics are then updated in real time.

The search for the "best" system under these metrics is then formulated as a constrained optimization problem.

These metrics are then used to create a literature review of the performance of existing technologies for bubble generation.