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Uncertainty quantification in performance evaluation of manufacturing processes

Author:
Nannapaneni, Saideep
,
Mahadevan, Sankaran
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICC.2014.6883560
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1080022
Keyword(s): OFDM modulation,n cognitive radio,n convex programming,n integer programming,n minimisation,n quality of service,n wireless channels,n Lagrangian techniques,n OFDMA based cognitive radio networks,n bandwidth power product,n cognitive base station,n downlink resource allocation problem,n generalized spectral footprint minimization,n interference threshold,n joint subchannel,n minimization problem,n nonconvex mixed integer programming problem,n or
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    Uncertainty quantification in performance evaluation of manufacturing processes

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contributor authorNannapaneni, Saideep
contributor authorMahadevan, Sankaran
date accessioned2020-03-12T22:21:08Z
date available2020-03-12T22:21:08Z
date issued2014
identifier other7004333.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1080022
formatgeneral
languageEnglish
publisherIEEE
titleUncertainty quantification in performance evaluation of manufacturing processes
typeConference Paper
contenttypeMetadata Only
identifier padid8216396
subject keywordsOFDM modulation
subject keywordsn cognitive radio
subject keywordsn convex programming
subject keywordsn integer programming
subject keywordsn minimisation
subject keywordsn quality of service
subject keywordsn wireless channels
subject keywordsn Lagrangian techniques
subject keywordsn OFDMA based cognitive radio networks
subject keywordsn bandwidth power product
subject keywordsn cognitive base station
subject keywordsn downlink resource allocation problem
subject keywordsn generalized spectral footprint minimization
subject keywordsn interference threshold
subject keywordsn joint subchannel
subject keywordsn minimization problem
subject keywordsn nonconvex mixed integer programming problem
subject keywordsn or
identifier doi10.1109/ICC.2014.6883560
journal titleig Data (Big Data), 2014 IEEE International Conference on
filesize2080347
citations0
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