Full-body visible human project<sup>®</sup> female computational phantom and its applications for biomedical electromagnetic modeling
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: 2014DOI: 10.1109/ICCW.2014.6881310
Keyword(s): learning (artificial intelligence),n power consumption,n scheduling,n target tracking,n wireless sensor networks,n RL framework,n WSN application,n application performance,n cooperative reinforcement learning,n cyber physical systems,n energy consumption,n energy limitations,n energy-aware task scheduling,n energy-performance trade-off improvement,n noncooperative approaches,n observed application behavior,n sensor node,n target tracking applica
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Full-body visible human project<sup>&#x00AE;</sup> female computational phantom and its applications for biomedical electromagnetic modeling
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| contributor author | Yanamadala, J. | |
| contributor author | Rathi, V.K. | |
| contributor author | Maliye, S. | |
| contributor author | Win, H.A. | |
| contributor author | Tran, A.L. | |
| contributor author | Zagalskaya, M. | |
| contributor author | Noetscher, G.M. | |
| contributor author | Makarov, S.N. | |
| contributor author | Kozlov, M.K. | |
| contributor author | Nazarian, A. | |
| date accessioned | 2020-03-12T22:19:06Z | |
| date available | 2020-03-12T22:19:06Z | |
| date issued | 2014 | |
| identifier other | 7002967.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1078847?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Full-body visible human project<sup>®</sup> female computational phantom and its applications for biomedical electromagnetic modeling | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8215163 | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | n power consumption | |
| subject keywords | n scheduling | |
| subject keywords | n target tracking | |
| subject keywords | n wireless sensor networks | |
| subject keywords | n RL framework | |
| subject keywords | n WSN application | |
| subject keywords | n application performance | |
| subject keywords | n cooperative reinforcement learning | |
| subject keywords | n cyber physical systems | |
| subject keywords | n energy consumption | |
| subject keywords | n energy limitations | |
| subject keywords | n energy-aware task scheduling | |
| subject keywords | n energy-performance trade-off improvement | |
| subject keywords | n noncooperative approaches | |
| subject keywords | n observed application behavior | |
| subject keywords | n sensor node | |
| subject keywords | n target tracking applica | |
| identifier doi | 10.1109/ICCW.2014.6881310 | |
| journal title | ignal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE | |
| filesize | 802713 | |
| citations | 1 |