Investigation of energy storage and open cycle gas turbine for load frequency regulation
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سال
: 2014شناسه الکترونیک: 10.1109/EMBC.2014.6943754
کلیدواژه(گان): electroencephalography,emotion recognition,feature selection,medical signal processing,regression analysis,skin,support vector machines,EEG,EOG-EMG,GSR,HER systems,RFE,SVM,bidimensional arousal-valence space emotion assessment,discrete emotions,electroencephalogram,electrooculogram-electromiogram,feature selection,galvanic skin response,human emotion recognition,multiple output regressor,multiple-output support vector machine regression,physiological signals,recursive feat
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Investigation of energy storage and open cycle gas turbine for load frequency regulation
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contributor author | Bo Lian | |
contributor author | Dongmin Yu | |
contributor author | Cheng Wang | |
contributor author | Le Blond, S. | |
contributor author | Dunn, R.W. | |
date accessioned | 2020-03-12T21:19:57Z | |
date available | 2020-03-12T21:19:57Z | |
date issued | 2014 | |
identifier other | 6934664.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1045158 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Investigation of energy storage and open cycle gas turbine for load frequency regulation | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8173657 | |
subject keywords | electroencephalography | |
subject keywords | emotion recognition | |
subject keywords | feature selection | |
subject keywords | medical signal processing | |
subject keywords | regression analysis | |
subject keywords | skin | |
subject keywords | support vector machines | |
subject keywords | EEG | |
subject keywords | EOG-EMG | |
subject keywords | GSR | |
subject keywords | HER systems | |
subject keywords | RFE | |
subject keywords | SVM | |
subject keywords | bidimensional arousal-valence space emotion assessment | |
subject keywords | discrete emotions | |
subject keywords | electroencephalogram | |
subject keywords | electrooculogram-electromiogram | |
subject keywords | feature selection | |
subject keywords | galvanic skin response | |
subject keywords | human emotion recognition | |
subject keywords | multiple output regressor | |
subject keywords | multiple-output support vector machine regression | |
subject keywords | physiological signals | |
subject keywords | recursive feat | |
identifier doi | 10.1109/EMBC.2014.6943754 | |
journal title | ower Engineering Conference (UPEC), 2014 49th International Universities | |
filesize | 353376 | |
citations | 0 |