Sentence examples for method represented by from inspiring English sources

This factory system has replaced the auteur method represented by veteran songwriters like Tom T Hall and Kris Kristofferson, and critics say is the reason why contemporary hits have lost their edge and instead recycle themes involving partying, trucks and beer.

However, very few private developers treat PRH as an ideal investment target on account that its investment value seems too low on the basis of traditional valuation method represented by the Net Present Value (NPV) method.

In this paper the method distribution of characteristics into partial fraction and recurrent cascade method represented by graphs were applied in order to structural modification of the vibrating mechanical system with cascade structure.

The reliability and accuracy of the proposed analysis method is examined through the comparison with the results by the conventional method (represented by the shake program) for many simulated spectrum-compatible ground motions.

In the alternative cooling method (represented by the cooling load arrow), the greenhouse air is brought to the required favorable air temperature value considering any appropriate system that can perform this task without opening the greenhouse ventilators (e.g., solar absorption cooling system).

We adopt the method represented by Zhao et al. [ 21].

The physical methods represented by adsorption, coagulation, and filtration.

In this study, we reveal that existing fractionation methods, represented by the MT-sedimentation-method for MTs and the Triton X-100 solubility assay-method for actin cytoskeletons, disrupt the organizations of the non-targeted cytoskeletons.

In our experiment, we apply two important classes of methods, namely linear large margin methods (represented by the linear support vector machine, SVM) and ensembles of decision trees (Random Forests, RF).

The trajectories of the greedy and GMM methods represented by their expected features demonstrate two distinctive behaviours (in terms of expected sensation), risk-prone for the greedy and risk-averse for the GMM.

In recent years, machine learning methods represented by neural network and support vector machine have been widely used in the aspects of instruments error modeling, forecasting or other areas (Austina et al. 2013; Wang et al. 2015).