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Parametric algorithms for global optimization of mixed-integer fractional programming problems in process engineering

contributor authorZhixia Zhong , Fengqi You
date accessioned2020-03-12T20:13:38Z
date available2020-03-12T20:13:38Z
date issued2014
identifier other6858622.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1006626?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleParametric algorithms for global optimization of mixed-integer fractional programming problems in process engineering
typeConference Paper
contenttypeMetadata Only
identifier padid8128181
subject keywordsbank data processing
subject keywordsdata integrity
subject keywordsrisk management
subject keywordssecurity of data
subject keywordstrusted computing
subject keywordsdata extraction
subject keywordse-banking security awareness
subject keywordse-banking system attack prevention
subject keywordse-banking system security risks
subject keywordse-banking usage awareness
subject keywordsinformation availability
subject keywordsinformation confidentiality
subject keywordsinformation integrity
subject keywordstrusted systems
subject keywordsBanking
subject keywordsComputer hacking
subject keywordsComputers
subject keywordsInterviews
subject keywordsOnline banking
subject keywordsTraining
subject keywordsawareness
subject keywordse-Banking security
subject keywordssecurity risks
identifier doi10.1109/InfoSEEE.2014.6947856
journal titlemerican Control Conference (ACC), 2014
filesize446699
citations1


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