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Karpinska and Bridgeman (2016) reviewed computational fluid dynamics (CFD -aided modeling of aCFD -aidedludge systemodelingich the ratiofactivatedd the usludgeCFD to model aeration, facilitating enhancement of treatment efficiency and reduction of energy input were disystems.
In 16 of the 30 networks, all patients were discussed at a specialist MDT meeting (i.e. an MDT meeting in a specialist cancer centre), while in the remaining networks only patients who were felt to require specialist input were discussed at these specialist MDT meetings.
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Since it is relevant to the discussion, the significance of different aspects of input is discussed along with the issue of motivation, which Truscott has included in his thesis.
In particular, the required total specific energy input is discussed.
The potential existence of a localized upwelling shadow at one site and the influence of riverine input are discussed.
Robust finite-time H∞ control of a class of continuous-time nonlinear system with parameter uncertainties and disturbance input is discussed in this note.
The training results using different data sets as model input are discussed in the experimental results section.
In particular, different types of relevant projections for handling the known and unknown inputs are discussed.
First, critical excitation methods for stationary random inputs are discussed in this chapter.
Design considerations, such as determinate kinematics, link dimensions, selection of coupler-point and control-input, are discussed.
In this paper, the fault diagnosis problem for a class of nonlinear systems with unknown parameters which depend on both states and inputs is discussed.
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