Titlebook: Computational Intelligence in Information Systems; Proceedings of the F Somnuk Phon-Amnuaisuk,Thien Wan Au Conference proceedings 2015 Spri

chlorosis

https://doi.org/10.1007/978-3-8349-6644-5 language morphemes from EEG signals. This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. Using as input the features extracted from EEG signals during morphological priming tasks, our experimental results

DUCE

aristocracy

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neue betriebswirtschaftliche forschung (nbf)linear fractional programming to solve possibilistic programming of the multi-objective decision-making problem. The minimal and maximal values of the objective function are utilized in the determination the weight value. This analysis concludes that it is worthwhile to pursue proposed solution appr

aerial

Grundlagen der Automobilindustrie, is exacerbated if the number of instances is large. Therefore, this paper concentrates on a double treatment iterative improvement algorithm with intelligent selection on composite neighbourhood structure to solve the attribute reduction problems and to obtain near optimal reducts. The algorithm wo

青少年

inquisitive

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Kooperationen in der Automobilindustrie,t may support the decisions of the ownership communities in determining the technically verified steps and solutions in repair processes hinders the improvement of the physical condition of old residential houses..In this paper we propose a new formal method and approach for generating such tool tha

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ODIUM

Markenmanagement in der Automobilindustrie,nce the minds of the young ones and create hate among people. In censoring the profane words, this paper introduces a hybrid text censoring method which is based on Bayesian Filtering and Approximate String Matching techniques. The Bayesian filtering technique is used to detect the malicious content