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Research of Mold Level Control Algorithm Based on Hybrid Control Strategy

Author:
Zhang, Xiaojie , Ji, Zhenping
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/EMBC.2014.6943526
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1029295
Keyword(s): correlation methods,electro-oculography,electrocardiography,electroencephalography,electromyography,feature extraction,feature selection,medical signal detection,signal classification,sleep,CFS,Cohen',s Kappa coefficient,HRV data,LD,automatic deep sleep detection,cardiac information,cardiac physiology,cardiac signals,classification performance,correlation-based feature selection method,epoch-by-epoch classification,feature extraction,feature redundancy removal,feature
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    Research of Mold Level Control Algorithm Based on Hybrid Control Strategy

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contributor authorZhang, Xiaojie , Ji, Zhenping
date accessioned2020-03-12T20:53:28Z
date available2020-03-12T20:53:28Z
date issued2014
identifier other6911465.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1029295
formatgeneral
languageEnglish
publisherIEEE
titleResearch of Mold Level Control Algorithm Based on Hybrid Control Strategy
typeConference Paper
contenttypeMetadata Only
identifier padid8154557
subject keywordscorrelation methods
subject keywordselectro-oculography
subject keywordselectrocardiography
subject keywordselectroencephalography
subject keywordselectromyography
subject keywordsfeature extraction
subject keywordsfeature selection
subject keywordsmedical signal detection
subject keywordssignal classification
subject keywordssleep
subject keywordsCFS
subject keywordsCohen'
subject keywordss Kappa coefficient
subject keywordsHRV data
subject keywordsLD
subject keywordsautomatic deep sleep detection
subject keywordscardiac information
subject keywordscardiac physiology
subject keywordscardiac signals
subject keywordsclassification performance
subject keywordscorrelation-based feature selection method
subject keywordsepoch-by-epoch classification
subject keywordsfeature extraction
subject keywordsfeature redundancy removal
subject keywordsfeature
identifier doi10.1109/EMBC.2014.6943526
journal titlentelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
filesize199036
citations0
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