Sentence examples for accessible estimation from inspiring English sources

Comparative study of the results with those of well-known methods of strict ellipsoid and the three-step algorithm demonstrates the suitability of the HyperLS and SUKF in terms of accessible estimation accuracy.

A web map service (WMS), as a RESTful API with URL, that makes real-time information of power outage and economic loss estimation accessible and available across the web would be valuable and important for decision makers in smart cities and smart energy utility.

Protein DNA interface detection is based on the method of differential solvent accessible surface area estimation.

In conclusion, PDIviz is a novel plugin for PyMOL that provides an intuitive way of visualizing protein DNA binding interfaces detected by solvent accessible surface area estimation.

But at present there is no simple and generally accessible Bayesian diversity estimation software, so we have less applied experience than with the classical approach.

Designing a simple and accessible approach to age estimation in children and youth is a great challenge in the fields of sports and physical activity (PA).

If the robot motion estimation is not accessible or not accurate enough, overlapping area can be searched over the whole image, which is a more time consuming process.

However, in the UL signalling based scheme, small cells woken up by a AU may need to synchronize their air interface with the macro cell prior to being accessible by UEs for channel estimation.

Our methods in using NASA satellite data provide a readily accessible and affordable approach to estimation of a sufficient range of individual PM2.5 exposures in a single city.

One of the strengths of regression methods lies in the fact that the statistical power contained in the entirety of experimental data is accessible for low-effect dose estimations.

Whereas the pair-wise comparisons carried out in hypothesis-testing procedures cannot utilize the information available from other dose groups, the strength of regression methods lies in the fact that the statistical power contained in the entirety of experimental observations is accessible for low-effect dose estimations.