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Bayesian approach for minimizing nephropathy risk for patients with type 2 diabetes

contributor authorFellaji, S. , Azmani, A. , Akharif, A.
date accessioned2020-03-12T20:01:55Z
date available2020-03-12T20:01:55Z
date issued2014
identifier other6847311.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/999229?show=full
formatgeneral
languageEnglish
publisherIEEE
titleBayesian approach for minimizing nephropathy risk for patients with type 2 diabetes
typeConference Paper
contenttypeMetadata Only
identifier padid8119541
subject keywordsCapacitors
subject keywordsMathematical model
subject keywordsReactive power
subject keywordsTorque
subject keywordsVoltage fluctuations
subject keywordsWind speed
subject keywordsWind turbines
subject keywordsMatlab/Simulink
subject keywordsSelf-excited induction generator
subject keywordsinduction motor load
subject keywordstransient performance
identifier doi10.1109/TENCON.2014.7021872
journal titlentelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on
filesize759577
citations0


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