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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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The app was developed utilizing Apache Cordova.
MIMPA is developed utilizing a modified version of the DPA, CPA, and TA attack algorithms.
Various optical manipulation methods have been developed utilizing conventional optical trapping techniques [6, 7].
Model test specimens suitable for mechanical testing are developed, utilizing substrates of oxide dispersion strengthened copper.
Measurements of current-voltage characteristics of SnO2 nanostructures were carried by using gas sensors developed utilizing a special test structures.
In [30], a fault detection technique is developed utilizing the change in bus susceptance parameters of the smart grids.
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