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This work presents the study, the development and the evaluation of a binary neural classifier to separate the epileptiform events (spike and sharp wave) and eye blink artifacts in electroencephalography exams (EEG). The eye blink is the main artifact that affects the performance of the automatic systems for identification of epileptiform events in EEG signals. The methodology for the development...
The concept and characteristics of the ecotype supply chain are discussed in the paper firstly, and then a further improvement of performance evaluation index system of ecotype supply chain is made. Based on the above discussion, a fuzzy BP neural network evaluation method which optimized by PSO is established. Through an example, the proposed method is used to evaluate the performance of an ecotype...
In this paper, we consider a new channel probing scheme for opportunistic scheduling in the uplink of orthogonal frequency division multiplexing (OFDM)-based wireless systems. To reduce signaling overhead for the probing, we consider a two-step channel probing process; called pre-probing and mainprobing. Good subchannels are first estimated through the pre-probing process using a probing signal transmitted...
Through analyzing the changes of key services' performance index value before and after evaluation, this paper proposed a novel quantitative analysis method for network survivability based on grey relational analysis. Starting with the normalization of decision matrix with interval number, the proposed method firstly applied grey relational analysis to assess the best affiliate degree and survival...
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