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In this paper, we provide an additional methodology to investigate such problems by employing both applied mathematical modelling and classical phonon theory.
Finite element modelling and classical modal reduction in the mathematical basis of the controlled modes are used for the state model.
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In the present application, particle model is used as the micromechanical model and classical linear elasticity as the continuum model.
Inactivation kinetic parameters were obtained through the application of a primary biphasic model and classical secondary models to describe the influence of pressure and temperature on spore inactivation.
Within this framework, we investigate two types of models for the RSS data: polynomial models and classical logarithmic path-loss representation.
To demonstrate our results, we had taken the WBCD database from UCI Machine Learning repository and compared the classification accuracy, sensitivity, specificity, confusion matrix, ROC curves and AUC under ROC curves of GONN with classical model and classical back propagation model.
To demonstrate our results, we had taken seven datasets from UCI Machine Learning repository and compared the classification accuracy and training time of enhanced GONN with classical Koza's model and classical Back propagation model.
The fate of polysaccharides was determined through UV absorbance, light scattering, ATR-FTIR and viscosity measurements, and the results were analysed using the resistance-in-series model and classical filtration laws.
Among the many new tools in use were Bayesian networks, hidden Markov models, information theory, stochastic modeling and classical optimization.
Thus, detailed protein models and classical engineering methods in combination with an expanded genetic code could open a new era of synthetic biology.
In order to evaluate the difference between our model and classical methods, we applied a speed filter at 12.6 km/h on the raw data [22].
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