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A quantitative model requires accurate data mining.
The porous model requires accurate heat transfer correlations for the heat exchanger, and such correlations may not be available for new designs.
Development of the model requires accurate mapping of electrode and muscle stimulation sites, the capability to selectively activate muscles to produce graded contractions of sufficient strength, stable anchoring of the implanted electrode within the muscles and stable performance with functional reliability over several weeks of the therapy window.
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Accurate prediction of hydrological models requires accurate spatial and temporal distribution of rainfall.
Assessing the reliability of such models requires accurate estimation of the data errors.
Application of soil erosion models requires accurate estimation of model parameters under different environmental conditions.
Integrated optimization of these models requires accurate and efficient reduced models (RMs).
The construction of Markov models requires accurate data information to determine the transfer probabilities and state conditions.
Heat transfer modelling requires accurate knowledge of thermophysical properties and crystallization kinetics in conditions representative of the forming process.
Population modeling requires accurate information on dosing, measurements, and covariates.
In the context of robot grasping and manipulation, realistic dynamic simulation requires accurate modeling of contacts between bodies and, in a practical level, accurate simulation of touch sensors.
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CEO of Professional Science Editing for Scientists @ prosciediting.com