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Meta-classification model for diabetes onset forecast: A proof of concept

contributor authorNnamoko, N.A.
contributor authorArshad, F.N.
contributor authorEngland, D.
contributor authorVora, Jiten
date accessioned2020-03-12T22:14:46Z
date available2020-03-12T22:14:46Z
date issued2014
identifier other6999247.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1076286?show=full
formatgeneral
languageEnglish
publisherIEEE
titleMeta-classification model for diabetes onset forecast: A proof of concept
typeConference Paper
contenttypeMetadata Only
identifier padid8212491
subject keywordsQ-factor
subject keywordsn error statistics
subject keywordsn optical communication equipment
subject keywordsn optical fibre amplifiers
subject keywordsn optical fibre communication
subject keywordsn wavelength division multiplexing
subject keywordsn 96 channels DWDM system
subject keywordsn S+C bands
subject keywordsn bit error rate
subject keywordsn distance 40 km
subject keywordsn eye diagrams
subject keywordsn hybrid EDFA-TDFA configurations
subject keywordsn hybrid TDFA-EDFA comparative analysis
subject keywordsn hybrid fiber amplifier configurations
subject keywordsn optical communication system
subject keywordsn quality factor
subject keywordsn signal strengths
subject keywordsn wavelength 1479 nm to 155
identifier doi10.1109/ICTON.2014.6876485
journal titleioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
filesize359909
citations0


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