Sentence examples for proof of concept simulations from inspiring English sources

Proof of concept simulations involving 72,000 signature matchings (corresponding to both genuine and forged query signatures from the Brazilian Signature Database) have shown FV recognition accuracy of about 97% and system entropy of about 45-bits.

Proof-of-concept simulations of static and dynamic shape control are presented for a scaled high-aspect-ratio wing model.

As a proof-of-concept, simulations of a neocortical column containing 10,000 neurons have been run.

To compare the image performance on crosstalk among all three methods as described in sections 2.1-2.3 2.1-2.3of proof-of-concept simulationsetere carried oft on a 2D circular model.

Implementing a large-scale network capable of storing a realistic number of lexical items, however, was not one of the objectives of this work; our main aim here was to show proof-of-concept simulations that enable explanations of previous experimental evidence and predictions of future findings.

We demonstrate the suitability of TV regularization using a proof-of-concept simulation of BOS tomography on an LES phantom.

We describe an investigation with the primary objectives to design, develop, and evaluate: (i) a proof-of-concept simulation test-bed that investigates the benefits of using DDDAS Dynamic Data Driven Applications Systemss) for UAV swarm control, and (ii) engineering guidelines that will enable the use of DDDAS principles in such actual systems.

The proof-of-concept simulation shows that the TEDG strategy can obtain excellent performance in capturing the evolutionary history when the number of cases is beyond 30.

Here, the previously developed models for neutropenia and DPCO were integrated into a single stochastic simulation framework that was used to evaluate a number of proof-of-concept simulation scenarios.

The proof-of-concept simulation model described in this study has potential as a tool for understanding factors contributing to dengue spread as well as planning and optimizing dengue control, including reducing the Ae. aegypti vector population and for estimating the effectiveness and cost-effectiveness of future vaccination programmes.

This second approach also represents a proof-of-concept for simulation tools adapted to a large-scale two-tier network evaluation.