Sentence examples for design and predictive from inspiring English sources

The overall goal is to utilize powerful, flexible, adaptive design and predictive simulation tools that can follow and predict the behaviour of polymer production processes in an accurate, prompt and comprehensive way.

We also examine the utility of invariant-based methods in QMSA, as well as practical molecular design and predictive toxicology.

These flows, coupled with the induced ecological and chemical interactions, affect the design and predictive performance of constructed wetlands as well as the transport and fate of contaminants.

The battery model, which is represented by electrical circuit components, can be easily integrated into popular simulation environments for system level design and predictive analysis.

The paper presents an overview of the recent contributions of centrifuge modelling to the understanding of soil structure interaction and the development of design and predictive methods in the field of mobile jack-up drilling rig foundations.

It is envisaged that this review may inform future research, trial design and predictive models of ADPKD natural history, helping to optimise patient care.

In the area of product design and analysis, predictive models are needed with a wide application range.

Flow simulation plays a major role in aerodynamic design and its predictive quality is crucially dependent upon both discretization techniques and the capabilities of turbulence modelling over a broad range of configurations and flow situations up to the borders of the flight envelope.

This paper describes an ongoing research project to develop an organizational knowledge architecture that is being specified and developed to support collaboration tasks as well as design and model predictive data analysis and insights for organizational development.

It is, however, noteworthy that the software interface is completely generic and constitutes a novel framework for implementing any PID control schemes as well as sequential optimal experimental design and model predictive control strategies.

Specifically, we initially discuss control methods for particulate processes which utilize suitable approximations of population balance models to design nonlinear, robust and predictive control systems and demonstrate their application to crystallization and aerosol processes.