Sentence examples for achieve uncertainty from inspiring English sources

We propose simple methods to achieve uncertainty propagation, parameter optimisation and sensitivity analysis in cases where the model satisfies some monotonic properties.

It is established that controllers which are synthesized on the basis of a reduced-order slow model, and achieve uncertainty decoupling or uncertainty attenuation, continue to enforce these objectives in the presence of unmodeled dynamics, provided that they are stable and sufficiently fast.

In addition, the 'mixed' model achieved uncertainty estimates similar to the 'single' model while increasing the number of available reaction wells per instrument run.

Multiple hypothesis testing is then conducted to construct an ensemble of reduced-dimensionality PCEs with only the most influential terms, which is meaningful for achieving uncertainty reduction and further acceleration of parameter inference.

However, while key improvements were achieved, uncertainty about the future of telehealth remained, and the appropriateness of employing these methods to embed complex innovations into routine practice is less certain, particularly when, for interventions like telehealth, consensus around evidence of clinical and cost effectiveness is yet to be established.

In order to achieve low uncertainty, NMIJ carries out a re-evaluation of the uncertainty budget for two weighing tank systems.

However, traceability is obtained via dimensional and mass quantities and several secondary's laboratories have sufficient Best Measurement Capabilities (BMCs) to achieve acceptable uncertainty levels.

High mass accuracy mass spectrometers achieve an uncertainty of approximately 5 ppm.

For the marginal impact of boys, we assumed a correlation of 0.5 between the HPV prevalence impacts of girls-only vaccination and the marginal impact of adding boys, and calibrated Beta distributions to achieve the uncertainty reported in [ 13] for the marginal impact of adding boys' vaccination.

Whereas modified imputation was clearly superior for RASTA features, better results for MFCC features have almost consistently been achieved by uncertainty decoding, even though uncertainties were estimated in the spectrum domain for both features and propagated to the recognition domain of interest.

Validation experiments demonstrate that the technique is suitable for both areal and point emission sources and achieves an uncertainty of less than 10% for the mass emissions of NH3, methane (CH4) and carbon dioxide (CO2), which is superior to other currently available methods.