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An Emergency Information Sharing (EIS) framework for effective Shared Situational Awareness (SSA)

contributor authorBalfour, R.E.
date accessioned2020-03-12T19:59:51Z
date available2020-03-12T19:59:51Z
date issued2014
identifier other6845195.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/998011?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Emergency Information Sharing (EIS) framework for effective Shared Situational Awareness (SSA)
typeConference Paper
contenttypeMetadata Only
identifier padid8118053
subject keywordscognition
subject keywordscomputational complexity
subject keywordsdata analysis
subject keywordselectroencephalography
subject keywordsentropy
subject keywordsfeature extraction
subject keywordsmedical disorders
subject keywordsmedical signal processing
subject keywordsneurophysiology
subject keywordssampling methods
subject keywordsvisual evoked potentials
subject keywordsEEG data complexity analysis
subject keywordsbiomedical data complexity analysis
subject keywordscognitive experiment
subject keywordscognitive performance enhancement
subject keywordshuman brain function
subject keywordsmemory case
subject keywordsmemory characterization
subject keywordsmultiscale sample entropy
subject keywordsneurological disorder
subject keywordsprefrontal area
subject keywordsvisual stimuli
subject keywordsworking memory featur
identifier doi10.1109/BMEiCON.2014.7017446
journal titleystems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island
filesize947223
citations0


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