Sentence examples for incorporating a knowledge from inspiring English sources

This paper is concerned with automation and optimisation of the design of a turbine blade fir-tree root by incorporating a knowledge based intelligent computer-aided design system (ICAD®) and finite element analysis.

Incorporating a knowledge base into EPHT could increase integration between research and surveillance.

Incorporating a knowledge of the sequencing platform's error profile after initial SNV calling, rather than including it as part of the calling algorithm, allows the basic calling algorithms to remain relevant for various iterations of the sequencing technology.

The module extraction process can be seeded by biologically relevant gene sets (extracted from e.g. GO and KEGG), thus incorporating a knowledge-driven component in the analysis.

The problem formulation step incorporates a knowledge base for the identification and setup of the design criteria.

Designing an autonomous intelligent system that incorporates a knowledge base built with the tools whose underlying theory embraces the connectionist paradigm requires the use of at least one of the various neural network (NN) models defined to perform neural computation.

The modules were based on social cognitive theory 6 and incorporated a knowledge element to give patients the necessary information that they needed to know how to effectively self-manage their BP, and a psychological element that involved teaching and encouraging skills, such as goal setting, that were likely to improve the confidence and motivation needed for effective self-management.

The generic code structure and independent performance features of GAs make them suitable candidates for incorporating a priori knowledge.

In model-based segmentation, a connected and continuous model is built for a specific anatomic structure by incorporating a priori knowledge of the object such as shape, location, and orientation.

The contribution of the paper is to develop a method aimed at incorporating a priori knowledge about process in terms of rigorous models for static estimator design when the training sample is small and contains measurement errors.

We do so by incorporating a priori knowledge of protein structure, evolution and interaction, and cellular signaling and regulatory pathways.