Sentence examples for develop a novel classification from inspiring English sources

The proposed QBS filter applies the concepts of data quantization to signal processing in order to develop a novel classification system.

The objective of this study was to develop a novel classification system based on a modified Delphi approach and to characterize the intra- and interobserver reliability of this classification.Based on an extensive literature review and a modified Delphi approach with an expert panel, a CSD classification system was generated.

Our objective was to develop a novel classification method for developing brief assessment instruments that does not require pretesting on large numbers of research participants, and that would be suitable for computerized adaptive testing.

Snezhnevsky, the most prominent theorist of Soviet psychiatry and director of the Institute of Psychiatry of the USSR Academy of Medical Sciences, developed a novel classification of mental disorders postulating an original set of diagnostic criteria.

We developed a novel classification of green space types, based on the utility of each space (usable or non-usable), and found different socioeconomic gradients in exposure to usable and total green space.

To address this problem, we develop a novel joint learning model for classification, referred to as two-layer mixture of factor analyzers with joint factor loading (2L-MJFA).

Instead of the traditional single-layer perceptron (SLP) developed according to the multiple-attribute utility theory, this paper contributes to develop a novel ELECTRE-based SLP for multicriteria classification problems based on the ELECTRE methods involving pairwise comparisons among patterns.

We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC) clades.

Therefore, we decided to develop a novel structural descriptor that is both, highly accurate with regard to subsequent classification, but also very efficient with regard to computing time.

To address this problem, we develop a novel approach in this paper to select label-dependent features for multi-label classification.

Develop a novel framework for the risk assessment of microplastics.