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Investigating the fractal nature of individual user netflow data

contributor authorMalott, L. , Chellappan, S.
date accessioned2020-03-12T20:53:55Z
date available2020-03-12T20:53:55Z
date issued2014
identifier other6911837.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1029583?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleInvestigating the fractal nature of individual user netflow data
typeConference Paper
contenttypeMetadata Only
identifier padid8154873
subject keywordsbiomedical measurement
subject keywordsblood vessels
subject keywordscardiology
subject keywordshaemodynamics
subject keywordshaemorheology
subject keywordsadaptive S-G algorithm
subject keywordsautomatic selection
subject keywordscWIA technique
subject keywordscardiac mechanics
subject keywordscoronary haemodynamics measurements
subject keywordscoronary wave intensity analysis
subject keywordsoptimal Savitzky-Golay filter parameters
subject keywordspathophysiology
subject keywordsphysiological noise
subject keywordspolynomial degree
subject keywordsproximal arterial haemodynamics
subject keywordsAccuracy
subject keywordsAlgorithm design and analysis
subject keywordsMeasurement
subject keywordsMyocardium
subject keywordsNoise
subject keywordsPolynomials
subject keywordsStandards
identifier doi10.1109/EMBC.2014.6944761
journal titleomputer Communication and Networks (ICCCN), 2014 23rd International Conference on
filesize274950
citations0


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