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Additionally, pattern recognition strategies are very often employed in NDT for automatically classifying the findings.
In this paper, we present our approach for automatically classifying million Web job vacancies on a standard taxonomy of occupations.
In addition, this paper presents newly discovered knowledge for automatically classifying certain cases as either domestic or non-domestic violence.
Thus, in this study, we applied convolutional neural networks (CNNs) to GPR images for automatically classifying subgrade defects (e.g., uneven settlement, sinkholes, and subgrade cracks).
In the section "Analytic approach", we propose a probabilistic model employing natural language features for automatically classifying VE recruitment in forum posts.
The recent explosion of machine learning algorithms has provided researchers with the opportunity to develop advanced statistical tools for automatically classifying lithology from these logs, enabling geologists to rapidly produce first-pass interpretations and validate others, even when core samples are missing or damaged.
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Digital signal processing concepts have been successfully applied to NDT for detecting, conditioning, and automatically classifying a large variety of defects as well as in the characterization of materials.
This happens by automatically classifying defect patterns and associating them to critical key control characteristics.
Future research can go further by automatically classifying SN users based on the framework's attributes that can be retrieved from the network in order to add an extra layer of security for those characterised as more vulnerable.
For instance, to automatically classify previously known phenotypes of C. elegans on the basis of their behaviour J.H. Baek et al. [12] successfully used several measurements ranging from form and size to velocity parameters.
Those tweets have been utilized for building machine learning classifiers able to automatically classify new tweets.
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