Sentence examples for based on statistical approach from inspiring English sources

These relations were also simulated using a simple model based on statistical approach with special procedure proposed for a proper specification of sampling interval.

All mentioned speech identification systems and classifiers are usually based on statistical approach, using the discriminative or artificial neural networks[15, 16], hidden Markov models (HMM [17], or Gaussian mixture models (GMM [18, 19].

Hence, in the present study, multi-variant experimental design based on statistical approach such as response surface methodology (RSM) and artificial neural network (ANN) approach was applied for process modeling.

At Mud volcano (Yellowstone, USA), for example, Werner et al. (2000) estimated that fumarolic vent emissions contribute to more than 32%% of the total degassing; based on statistical approach, the authors even suggested that the hydrothermal-focused emissions can be responsible for up to 63%% of the total degassing in that thermal area.

Based on statistical approaches with design of experiments, various methods have been developed to reduce the energy consumption by optimizing the machining condition.

The proper hierarchical class level was decided based on statistical approaches including canonical correspondence analysis, unsupervised classification, and multivariate analysis of variance.

Other approaches based on statistical approaches have been proposed; Jian et al. [15] used canonical correlation analysis for the VC, and Takashima et al. [16] proposed a VC technique using exemplar-based non-negative matrix factorization (NMF).

First of all, let us recall that all the proposed location verification solutions are based on statistical approaches, which come with estimate errors, in particular due to variance in collected RTT values.

The objective of this study is the classification of urban climate zones (UCZs) based on statistical approaches, to provide key information for the establishment of spatial planning in order to create pleasant thermal environments in urban spaces.

In most fold recognition applications, a protein sequence is compared to a set of three-dimensional protein structures and is scored based on statistical approaches [17], [18], [21], [22], [23].

The first method is developed based on vapor solid equilibrium constants for prediction of hydrate formation condition, while the second is based on statistical thermodynamic approach.