Sentence examples for a detection model for from inspiring English sources

We trained a detection model for each eye with a reduced size of 16 × 16 pixels.

The analysis involved a novel way to cross-calibrate a chlorophyll-a (Chl-a) detection model for the Landsat-8 OLI sensor from the relationship between the normalized difference chlorophyll index and the floating algal index derived from Sentinel-2A on a coinciding overpass date during the summer CyanoHAB bloom in Utah Lake.

In this paper, we propose a saliency detection model for RGB-D images based on the deep features of RGB images and depth images within a Bayesian framework.

Fitting a signal detection model for lineups to data like those shown in Table 1 involves estimating at least six parameters using steps detailed in the Appendix.

First, a vertical swing detection model for the cutting boom is established.

The target detection in a hybrid sensor network is addressed by [19, 20] where they have proposed a two-phase detection model for target detection assuming known target locations.

Building a robust anomaly detection model for use in high-dimensional spaces requires the combination of an unsupervised feature extractor and an anomaly detector.

Learning-based models Rather than using a depth saliency map directly, this type of model uses machine learning techniques to construct a 3D saliency detection model for RGB-D images based on extracted 2D features and depth features [23 26].

Rather than simply combining a depth map with 2D saliency maps as in previous studies, we propose a computational saliency detection model for RGB-D images based on the DMNB model.

Fig. 2 Equal-variance Gaussian signal detection model for a showup or a lineup.

However, the energy constraints and scalability issues in WSNs dictate the use of an hierarchical anomaly-based detection model for IDS [20].