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dc.contributor.authorBueno, Fabrício Ribeiropt_BR
dc.contributor.authorPartridge, Paul Williampt_BR
dc.date.accessioned2017-12-07T05:04:45Z-
dc.date.available2017-12-07T05:04:45Z-
dc.date.issued2013-11pt_BR
dc.identifier.citationBUENO, Fabrício Ribeiro; PARTRIDGE, Paul William. An inverse model for locating skin tumours in 3D using the genetic algorithm with the dual reciprocity boundary element method. Latin American Journal of Solids and Structures, Rio de Janeiro, v. 10, n. 6, p. 1061-1079, nov. 2013. DOI: http://dx.doi.org/10.1590/S1679-78252013000600001. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en. Acesso em: 04 ago. 2020.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/29002-
dc.language.isoenpt_BR
dc.publisherAssociação Brasileira de Ciências Mecânicaspt_BR
dc.rightsAcesso Abertopt_BR
dc.titleAn inverse model for locating skin tumours in 3D using the genetic algorithm with the dual reciprocity boundary element methodpt_BR
dc.typeArtigopt_BR
dc.subject.keywordMétodo inversopt_BR
dc.subject.keywordAlgoritmos genéticospt_BR
dc.subject.keywordMétodos de elementos de contornopt_BR
dc.subject.keywordTumorespt_BR
dc.subject.keywordEquação biotérmica de Pennespt_BR
dc.rights.licenseLatin American Journal of Solids and Structures - (CC BY) - All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. Fonte: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en. Acesso em: 04 ago. 2020.-
dc.identifier.doihttps://dx.doi.org/10.1590/S1679-78252013000600001pt_BR
dc.description.abstract1Here, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location and the size of a tumour, having as data input the temperature distribution measured on the skin surface. Given that the objective function, which is solved inversely, involves the DRBEM (Dual Reciprocity Boundary Element Method) the Genetic Algorithm in its usual form becomes slower, in such a way that it was necessary to develop functions based the solution history in order that the process becomes quicker and more accurate. Results for 8 examples are presented including cases with convection and radiation boundary conditions. Cases involving noise in the readings of the equipment are also considered. This technique is intended to assist health workers in the diagnosis of tumours.-
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