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For measuring the performance of methodology, analyses are carried out for various ambient temperatures (25 °C, 50 °C and 80 °C) and different LED power dissipations (0.5 W, 0.75 W, 1 W and 1.25 W).
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However, the performance of the methodology before the introduction of HAART suggests that this methodology may work well in a time of more gradual improvement in survival with antiretroviral treatment.
We perform pertinent model selection and validation diagnostics to assess the performance of our methodology.
Numerical and empirical results illustrate the performance of our methodology.
The limitations and performance of the methodology are further discussed.
The performance of this methodology is assessed through modeling of subsidence in an aquifer-interbed system.
Numerical experiments have been carried out to show the performance of the methodology.
However, the performance of the methodology will be affected by arcing faults and variation in fault impedance.
The gap infilling performance of this methodology is compared with neural networks and alternative conventional approaches.
To demonstrate the performance of the methodology, data from New South Wales and Victoria in Australia are illustrated.
The performance of the methodology has been evaluated applying the controller to an innovative pedelec prototype.
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