An Emergency Information Sharing (EIS) framework for effective Shared Situational Awareness (SSA)
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: 2014شناسه الکترونیک: 10.1109/BMEiCON.2014.7017446
کلیدواژه(گان): cognition,computational complexity,data analysis,electroencephalography,entropy,feature extraction,medical disorders,medical signal processing,neurophysiology,sampling methods,visual evoked potentials,EEG data complexity analysis,biomedical data complexity analysis,cognitive experiment,cognitive performance enhancement,human brain function,memory case,memory characterization,multiscale sample entropy,neurological disorder,prefrontal area,visual stimuli,working memory featur
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An Emergency Information Sharing (EIS) framework for effective Shared Situational Awareness (SSA)
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| contributor author | Balfour, R.E. | |
| date accessioned | 2020-03-12T19:59:51Z | |
| date available | 2020-03-12T19:59:51Z | |
| date issued | 2014 | |
| identifier other | 6845195.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/998011 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An Emergency Information Sharing (EIS) framework for effective Shared Situational Awareness (SSA) | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8118053 | |
| subject keywords | cognition | |
| subject keywords | computational complexity | |
| subject keywords | data analysis | |
| subject keywords | electroencephalography | |
| subject keywords | entropy | |
| subject keywords | feature extraction | |
| subject keywords | medical disorders | |
| subject keywords | medical signal processing | |
| subject keywords | neurophysiology | |
| subject keywords | sampling methods | |
| subject keywords | visual evoked potentials | |
| subject keywords | EEG data complexity analysis | |
| subject keywords | biomedical data complexity analysis | |
| subject keywords | cognitive experiment | |
| subject keywords | cognitive performance enhancement | |
| subject keywords | human brain function | |
| subject keywords | memory case | |
| subject keywords | memory characterization | |
| subject keywords | multiscale sample entropy | |
| subject keywords | neurological disorder | |
| subject keywords | prefrontal area | |
| subject keywords | visual stimuli | |
| subject keywords | working memory featur | |
| identifier doi | 10.1109/BMEiCON.2014.7017446 | |
| journal title | ystems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island | |
| filesize | 947223 | |
| citations | 0 |