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Improving classification of EEG signals for a four-state brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...
Adaptive boosting with SVM classifier for moving vehicle classification
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ...