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We propose an approach applicable in the problem of multi dimensions text mining that finds out several sets of phrases which were referred to as the text dimension. Based on the dimensions of text found by the proposed approach, a network could be built by similarities between documents. A method is proposed to transform the network from a coarsegrained one to a fine-grained one. By repeatedly mining...
This paper addresses a novel hybrid data-fusion system for damage detection by integrating the data fusion technique, probabilistic neural network (PNN) models and measured modal data. The hybrid system proposed consists of three models, i.e. a feature-level fusion model, a decision-level fusion model and a single PNN classifier model without data fusion. Underlying this system is the idea that we...
Electroencephalogram (EEG) activity in Male human during pleasant and unpleasant emotions by different events was investigated. When the subjects were listening to pleasant music and noise, the EEG data comparing pleasant and unpleasant states were obtained. Related emotional theta band was studied by using Principal Component Analysis of EEG data, meanwhile extracting the first principal component,...
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