Numerical modeling of heat assisted magnetic recording system
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سال
: 2014شناسه الکترونیک: 10.1109/CSIT.2014.6806001
کلیدواژه(گان): decision trees,n electrocardiography,n learning (artificial intelligence),n medical signal processing,n multilayer perceptrons,n signal classification,n support vector machines,n MLP,n SVM,n TreeBoost based supervised model,n artificial neural network,n benchmark MIT ECG arrhythmia database,n biomedicine,n cardiac arrhythmia classification,n decision tree forest,n heart beat arrhythmia classification,n hierarchical classification model,n machine
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Numerical modeling of heat assisted magnetic recording system
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contributor author | Chang, Ruinan | |
contributor author | Fu, Sidi | |
contributor author | Lubarda, Marko | |
contributor author | Menarini, Marco | |
contributor author | Lomakin, Vitaliy | |
date accessioned | 2020-03-12T21:43:38Z | |
date available | 2020-03-12T21:43:38Z | |
date issued | 2014 | |
identifier other | 6955676.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1058307 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Numerical modeling of heat assisted magnetic recording system | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8189667 | |
subject keywords | decision trees | |
subject keywords | n electrocardiography | |
subject keywords | n learning (artificial intelligence) | |
subject keywords | n medical signal processing | |
subject keywords | n multilayer perceptrons | |
subject keywords | n signal classification | |
subject keywords | n support vector machines | |
subject keywords | n MLP | |
subject keywords | n SVM | |
subject keywords | n TreeBoost based supervised model | |
subject keywords | n artificial neural network | |
subject keywords | n benchmark MIT ECG arrhythmia database | |
subject keywords | n biomedicine | |
subject keywords | n cardiac arrhythmia classification | |
subject keywords | n decision tree forest | |
subject keywords | n heart beat arrhythmia classification | |
subject keywords | n hierarchical classification model | |
subject keywords | n machine | |
identifier doi | 10.1109/CSIT.2014.6806001 | |
journal title | adio Science Meeting (Joint with AP-S Symposium), 2014 USNC-URSI | |
filesize | 72392 | |
citations | 0 |