Sentence examples for modelling and with from inspiring English sources

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Additionally, on account of the rather technical nature of the questions provided by Philips et al. [ 24], these are only suitable for specialist readers with expertise in the field of decision-analytic modelling and with knowledge of the disease area.

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This paper is concerned less with the modelling and more with the representation.

Where a full, integrated assessment is deemed necessary, however, considerable additional scientific and practical challenges and costs are implied: for example, in sourcing and collecting the necessary data, in modelling, and in consultation with users and other stakeholders.

Nonetheless, efficient and accurate phenotyping, modelling and collaboration with breeders remain important challenges, particularly when defining ideal RSA for different crops and target environments.

We validate our approach by using the BZR programming language and Sigali tool for modelling and simulations, with a video processing system implementation on a specific FPGA platform.

Response surface methodology and central composite design were used for modelling and optimisation with the experimental variables being the motor power (MP), air fluidizing pressure (AFP) (psi) and solid feed rate (SFR) (g/min).

Model compounds have been collated that cover a wide range of metabolic clearance values, and it is important that comparisons are made with existing in vitro systems in order to show the added value of a novel approach including modelling and familiarity with in vivo investigations.

A simple example briefly demonstrates the modelling and querying with ontology languages.

In the service development stage, requirements elicitation includes techniques for capturing, modelling and reasoning with energy requirements as well as product line oriented techniques to model and reason about system configuration [6, 7].

Another method, used and tested in PDP is using modelling and simulation with system dynamics as a communication tool [ 39].

In comparison, the UAR achieved by a GMM-based system jointly modelled the static distributions of pitch, glottal parameters and vocal tract parameters was 35.8% and the baseline UARs of the INTERSPEECH 2009 emotion challenge were 35.9% with dynamic modelling and 38.2% with static modelling (without any speaker normalisation).

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