Sentence examples for probability of tracking from inspiring English sources

In human measurements, the probability of tracking a healthy segment has been shown to lie at approximately 97% but to drop to 80% in diseased segments [ 16].

Therefore, in order to set an appropriate maximum radius R, we computed the probability of detecting two different molecules in consecutive frames within a distance lower than R. Considering the detection of a given molecule in consecutive frames, we could estimate the probability of tracking error by determining the local density of molecules different than the molecule of interest.

The simulation results indicate that the track management system maintains tracks with a very low probability of track loss and provides accurate estimates of target position and velocity.

It indicates that the probability of track loss is very low and that the track management system can maintain tracks in a reliable manner.

In[8], the probability of track loss and a function of estimation error covariance was minimized by selecting both waveform parameters and detection thresholds for range and range rate tracking in clutter.

Specifically, a survivability model incorporating dynamics and uncertainties in battlefield is developed, including some special features, such as calculating the probability of detecting, tracking, and destroying an unmanned aerial vehicle, and modeling the location of pop-up threats as a Markov chain.

Based on heterogeneous biomarkers, we present novel analytic tools designed to study epileptogenesis in animal model and human with the goal of tracking the probability of developing epilepsy over time.

When a type (i.e., a cluster) of tracks is selected, the probability of a track m being played is as follows: P m = 1 / size of the cluster (17).

Unlike conventional track extraction methodologies on thresholded measurements [21], it calculates the probability of a track existence without using an estimated spatial covariance matrix of the target state [22].

The flexibility of the design is demonstrated by extending the objective to reduce the probability of a track swap in ambiguous situations.

The aim of this study, concentrated on the 'Demerbroeken', 45 km east of Brussels in central Belgium, is to estimate the probability of off-track visits in any location of the nature reserve at specific times and terrain conditions, by means of a GIS-based friction model.