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Data is essential in order to make the most of your outcomes, whilst testimonials play a strong supporting role.
Knowledge discovery from software engineering measurement data is essential in deriving the right conclusions from experiments.
In addition, experimental and derived thermodynamic data is essential in effective process and product design involving these systems.
Flexible manipulation refers to robot manipulation that handles tasks with uncertainties; hence, decision-making based on feedback data is essential in realtime operation.
We discuss some model validation problems, and argue that consideration of the experimental design leading to the data is essential in guiding the design of the simulations of a given model.
As indicated, long term ground surface elevation data is essential in subsidence modeling.
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Models capable of predicting thermodynamic equilibrium data are essential in developing projects for chemical processing plants.
Digital elevation and terrain descriptor data were essential in the model for achieving acceptable results.
Solar radiation data are essential in the design of solar energy conversion devices.
The solubility data are essential in adjusting binary interaction parameters used in predicting inhibitor distribution in multi-component systems.
Solid liquid phase equilibria (SLE) data are essential in designing apparatus and operation of industrial crystallization because they determine the possibility of separation and predict purification limits.
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