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A malicious activity detection system utilizing predictive modeling in complex environments

date accessioned2020-03-12T20:22:39Z
date available2020-03-12T20:22:39Z
date issued2014
identifier other6866597.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1012281?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA malicious activity detection system utilizing predictive modeling in complex environments
typeConference Paper
contenttypeMetadata Only
identifier padid8135056
subject keywordsIII-V semiconductors
subject keywordsacoustic resonators
subject keywordsacoustic transducers
subject keywordsaluminium compounds
subject keywordsbioMEMS
subject keywordsbiosensors
subject keywordschemical sensors
subject keywordslab-on-a-chip
subject keywordsmercury (metal)
subject keywordsmicrofluidics
subject keywordsmicrosensors
subject keywordspiezoelectric actuators
subject keywordssemiconductor thin films
subject keywordswide band gap semiconductors
subject keywordsAlN
subject keywordsEWOD dielectric layer
subject keywordsFBAR piezoelectric layer
subject keywordsFBAR sensor
subject keywordsHg
subject keywordsbiochemical sensors
subject keywordsbiology
subject keywordschemistry
subject keywordsdigital droplets
subject keywordsdigital microfluidic device
subject keywordsdroplet transportation
subject keywordselectrowetting-ondielectric actuator
subject keywordsfilm bulk ac
identifier doi10.1109/ULTSYM.2014.0376
journal titleonsumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
filesize1629287
citations0
contributor rawauthorAlmaatouq, A. , Alabdulkareem, A. , Nouh, M. , Alsaleh, M. , Alarifi, A. , Sanchez, A. , Alfaris, A. , Williams, J.


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