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@techreport{
 title = {On the Worst-Case Whole-Body SAR Assessment Due to Far-Field Exposure},
 type = {techreport},
 source = {2013 Annual Meeting of Bioelectromagnetics Society and European Bioelectromagnetics Association (BioEM 2013), (2013)},
 pages = {438-441},
 websites = {https://www.bems.org/node/8386},
 id = {e32e27d1-ed23-3b14-b34e-24a130e8a0b4},
 created = {2019-11-03T22:00:09.015Z},
 file_attached = {true},
 profile_id = {92581d97-724a-345d-9f14-9035bd05a74d},
 last_modified = {2019-11-03T22:02:10.454Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this study we report a deterministic approach to evaluate the worst-case whole-body SAR due to far-field exposure. The approach is validated against a statistical approach (Monte Carlo) and the Self-Adaptive Differential Evolution optimization method, for two human numerical models and two frequencies under illumination from twelve plane-waves. It appears that the statistical approach performs worse than the other two methods, because it predicts lower values for the SAR.},
 bibtype = {techreport},
 author = {Boursianis, Achilles and Markakis, Ioannis and Goudos, Sotirios K and Samaras, Theodoros}
}