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The ANN that is developed utilizes a back-propagation algorithm.
The method developed utilizes SARMA as a modelling framework and EWMA for anomaly detection.
The methodology developed utilizes unit process modeling and life cycle inventory techniques.
On the other hand, the CNTFET model developed utilizes the calculation of the self-consistent potential of the CNT channel depending on gate and drain voltages.
The algorithm developed utilizes the power spectrum and attenuation measurements obtained from the homogeneous loop as calibration data in order to obtain concentration profiles in other (i.e. non-homogenous) flow regimes.
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A new density estimator for the random coefficients is developed, utilizing Fourier-Laplace series on spheres.
Model test specimens suitable for mechanical testing are developed, utilizing substrates of oxide dispersion strengthened copper.
Studies to quantitatively describe this biomass adsorbent interaction were developed utilizing surface energetics.
Design conditions for a feedforward compensator have been developed utilizing the so-called Q parameterization.
Finally, algorithm-based models of cities have been developed utilizing population-level analyses to identify risk factors for psychiatric illness.
An in-plane resonant bimetal microcantilever based on thermal actuation mechanism was developed utilizing the photolithography technique.
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