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Our first step towards this goal was to do a feature analysis which is described next.
[18] introduced a feature analysis approach and devised a framework for comparing the existing SOA methodologies.
There is a research [4] that makes a feature analysis of the track irregularity of urban rail transit based on track irregularity inspection data from Shanghai Subway.
A feature analysis of lexical entities has been carried out which shows that lexical attributes can be classified into five categories comprising nineteen attributes, including form attributes, morphological attributes, functional attributes, meaning attributes, and referential attributes.
The uniqueness of the proposed approach lies in that the observed network traffic first goes through a feature analysis stage which derives fifteen features to characterize the network traffic behaviors, and then the derived features are used as the input signals to the wavelet analysis and finally a decision on the intrusion is made.
To this end, the information of the thermodynamic measurements is combined with a feature analysis of 3D structures using one of several approaches to large-scale parameter optimization.
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This paper presents a detailed feature analysis of 15 supercomputing and big data schedulers.
To correlate the mRNA expression pattern network, we employed a texture feature analysis method to investigate the gene expression pattern obtained from fNC imaging during NSC differentiation.
Using genetic programming as a tool for feature analysis, a best model was created that achieved 94.74% classification accuracy in distinguishing grade II tumors from grade IV ones.
In our previous study [18], we performed a pilot texture feature analysis for periaqueductal gray (PAG) using a 2-dimentionalgray-level co-occurrence matrix (2D GLCM) and primary results suggested increased Contrast presented in MOH patients.
A 16-dimension feature analysis of both static MFCC and delta MFCC was used to form the observation vectors in each of LTRSPHMM1s, LTRSPHMM2s, CSPHMM1s, and CSPHMM2s.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com