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10.1007/978-3-030-45623-8_15 http://scihub22266oqcxt.onion/10.1007/978-3-030-45623-8_15 32966024!ä!32966024 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brain+and+Human+Body+Modeling+2020:+Computational+Human+Models+Presented+at+EMBC++2019+and+the+BRAIN+Initiative(R)+2019+Meeting-/-ä 2021 ; ä (ä): 261-70 Nephropedia Template TP {{tp|p=32966024|t=2021. Simplifying the Numerical Human Model with k-means Clustering Method |pdf=|usr=}}{{32966024}} gab.com Text Simplifying the Numerical Human Model with k-means Clustering Method JO: Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=32966024 #FOAvip Currently, the safety assessment of radio-frequency (RF) heating using computational modeling is limited by the available numerical models which are not patient specific. However, RF-induced heating depends on the physical characteristics of the patient. The numerical model generation is difficult due to the highly time-consuming segmentation process. Therefore, having fewer types of segmented structures simplifies the generation of numerical models and reduces computational burden as a result. In this study, we used the k-means clustering method to reduce the number of dielectric properties of an existing numerical model and investigated the resulting difference in specific absorption rate (SAR) with respect to the number of clusters. Twit Text FOAVip Simplifying the Numerical Human Model with k-means Clustering Method ????Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=32966024 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32966024 #FOAvip English Wikipedia <ref>{{Cite pmid|32966024}}</ref> Simplifying the Numerical Human Model with k-means Clustering Method #MMPMID32966024 Fujimoto K; Angelone LM; Rajan SS; Iacono MI Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä 2021[]; ä (ä): 261-70 PMID32966024show ga Currently, the safety assessment of radio-frequency (RF) heating using computational modeling is limited by the available numerical models which are not patient specific. However, RF-induced heating depends on the physical characteristics of the patient. The numerical model generation is difficult due to the highly time-consuming segmentation process. Therefore, having fewer types of segmented structures simplifies the generation of numerical models and reduces computational burden as a result. In this study, we used the k-means clustering method to reduce the number of dielectric properties of an existing numerical model and investigated the resulting difference in specific absorption rate (SAR) with respect to the number of clusters. äSimplifying the Numerical Human Model with k-means Clustering Method (epmc).pdf DeepDyve Pubget Overpricing