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In this paper, our focus is to understand the characteristics of the optimum system parameters, rather than the implementation efficiency of the optimization method used.
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Finding a closed-form expression in terms of the aforementioned system parameters is rather difficult; therefore, in this work, we have derived expressions for the approximate multiplicative complexity counts and have used Matlab simulations to find the exact number of complex multiplications implemented.
Vibrating systems having system parameters, initial conditions or forcing functions defined as intervals rather than single-valued quantities have been modelled using interval calculus.
Our results suggest that an ambivalent range exists in terms of distance from the inlet (rather than volume fraction) which depends on system parameters.
Clearly, the system is limited by interference rather than by noise for the set of system parameters considered.
Differentiation of malignant from benign lesions of musculoskeletal system is best made by a combination of clinical and imaging parameters rather than by any single MR characteristic.
System parameters such the radius of validation gate are reestimated during each iteration, rather than fixed empirically, resulting in a model that outperforms similar recent methods on standard datasets.
A key advantage of PBPK models is the ability to include sources of physiological and biochemical variability in the system parameters and to simulate the expected PK in a population of individuals rather than for an average subject.
Furthermore, some of the system parameters (such as the size of the validation gate) are learned from the data rather than specified by hand.
The PS encoder exploits inter-channel parameters rather than interaural cues because output signals can be transmitted to each ear differently according to the playback system, which can result in different interaural cues.
I thought of it more as a design situation with parameters, rather than limits.
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