Sentence examples for classification of persons from inspiring English sources

Recognition, identification and classification of persons moving in a vegetation cluttered environment using ground surveillance Doppler radar systems have a number of applications including security, military intelligence and battlefield purposes.

The system is specifically designed for the surveillance of entrance areas in transportation access facilities and consists of multiple heterogeneous sensors: Chemical sensors detecting hazardous materials provide data for the classification of persons.

The variable "race" is only a rough proxy for socioeconomic status or culture and is meaningless in terms of genes, but race is a precise marker for the social classification of persons in the United States' race-conscious society.

For example, in the specific case of Spain, decisions are related to the implementation of the Spanish Law of Dependency and the use of the official assessment tool for eligibility and classification of persons with dependency.

Cross-transmission by contact between humans and pigs or veal calves led to the classification of persons occupationally exposed to pigs or veal calves, e. g. farmers, veterinarians and slaughterhouse staff as high risk population for the carriage of MRSA CC398 [ 14, 15].

Sunderland's classification has five grades of nerve injury.

One of the particular and effective discriminative features for the classification of moving persons is the micro-Doppler (m-D) contributions contained in the backscattering radar signature [4, 5].

Despite the AVEC'13 and AVEC'14 datasets being focused on continuous depression assessment, different approaches have utilized it to address classification of portrayed persons into high- and low-depression severity groups according to the following standard BDI score cut-offs [4]: 0–13: Minimal depression 14 18: Mild depression 19 28: Moderate depression 30 63: Severe depression.

3 However, at the moment, the knowledge of how many people go missing with the intention to complete suicide remains very limited, due to inconsistencies in classification of missing persons, insufficient interagency communication and lack of rigorous research.

All in all, it can be stated that the artificial neural network technique leads to better results than principal component analysis (the Baye's theorem) for the classification of healthy persons and cancer patients based on nucleoside data (Zhao et al, 1998; Yang et al, 2002).

The classification of a person via her cultural preferences and proclivities maybe that's something we should be glad to wave goodbye to.