Sentence examples for development of classifications from inspiring English sources

Irrespective of the level of correlation between scientific and local maps, farmers' local classifications contained detailed pedological information that can contribute to the development of classifications systems that are both user-friendly and relevant for local needs.

The classification development group consisted of a perinatologist, a paediatrician, two registrars in obstetrics and gynaecology, a midwife researcher/epidemiologist, a primary care midwife, a perinatal pathologist, and a data manager, with various levels of experience in the development of classifications.

Although, we made significant progress with the development of classification procedures for Urban landforms using spectral patterns and geometric structures, we abandoned this development due to the relatively limited area impacted by urban infrastructure across the ACP.

One of the main issues under investigation is the development of classification algorithms capable of maximizing specific accuracy measures based on precision and recall.

Students in the second course also completed a 4-item scale to assess the development of classification and functionality knowledge regarding elements of the program.

The method development is composed of strategic selection of criteria for natural and cultural values, development of classification systems, development of techniques for aerial photo interpretation, methods for fieldwork and description, evaluation and ranking.

One of his key achievements at Microsoft was stimulating computer vision research that led to the development of classification forest algorithm, which is the foundation technology in Xbox Kinect.

The tariff system has driven the development of classification systems for care delivered in non-hospital settings.

The SVM methodology comprised reducing the pool of 30 descriptors to a smaller size by eliminating the related variables, followed by development of classification models [33, 34].

Support vector machines (SVM) [33], GTM and probabilistic neural networks (PNN) [34] have been used for the development of classification models.

Another approach, which is the one this paper focuses on, relies on the development of classification algorithms based on a target image obtained from the multistatic radar measurements.