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Numerical modeling of heat assisted magnetic recording system

contributor authorChang, Ruinan
contributor authorFu, Sidi
contributor authorLubarda, Marko
contributor authorMenarini, Marco
contributor authorLomakin, Vitaliy
date accessioned2020-03-12T21:43:38Z
date available2020-03-12T21:43:38Z
date issued2014
identifier other6955676.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1058307?show=full
formatgeneral
languageEnglish
publisherIEEE
titleNumerical modeling of heat assisted magnetic recording system
typeConference Paper
contenttypeMetadata Only
identifier padid8189667
subject keywordsdecision trees
subject keywordsn electrocardiography
subject keywordsn learning (artificial intelligence)
subject keywordsn medical signal processing
subject keywordsn multilayer perceptrons
subject keywordsn signal classification
subject keywordsn support vector machines
subject keywordsn MLP
subject keywordsn SVM
subject keywordsn TreeBoost based supervised model
subject keywordsn artificial neural network
subject keywordsn benchmark MIT ECG arrhythmia database
subject keywordsn biomedicine
subject keywordsn cardiac arrhythmia classification
subject keywordsn decision tree forest
subject keywordsn heart beat arrhythmia classification
subject keywordsn hierarchical classification model
subject keywordsn machine
identifier doi10.1109/CSIT.2014.6806001
journal titleadio Science Meeting (Joint with AP-S Symposium), 2014 USNC-URSI
filesize72392
citations0


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