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The effective dose is primarily intended as an important parameter for the planning and optimization of radiation protection and not as a quantity for individual risk estimates, as patient-specific parameters may vary significantly from the assumptions made in the risk models [1].
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Automated path planning is an important tool for the automation and optimization of field operations.
The target of the paper is to provide guidelines for indoor planning and optimization using an outdoor-to-indoor repeater or a dedicated indoor system.
The relationship between early cellular responses and late organic outcomes is a relevant aspect for risk limitation and optimization of treatment planning.
Yet, the running time of such an approach is still too large to consider it for practical wireless networks planning and optimization.
Traditional network planning and optimization techniques face the problems of high implementation cost, long deployment period, and complex optimization process.
All of these issues have important implications for the broader enterprise of SV research, from project planning and optimization to defining detection rules within SV algorithms.
In wireless networks planning and optimization, the aim is to run several system-level simulations to test hundreds of combinations of parameters for each base station.
In this contribution, we evaluate the potential of the DOE approach using the Taguchi method of experimental plans for the optimization of the synthesis of semiconductor nanocrystals [5].
New data will be fed into the planning and buying processes to give confidence for future planning and enable highly effective (and more automated) optimization.
An experimental design was planned for the optimization of the chromatographic conditions.
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