| Campo DC | Valor | Lengua/Idioma |
|---|
| dc.contributor.author | Bueno, Fabrício Ribeiro | pt_BR |
| dc.contributor.author | Partridge, Paul William | pt_BR |
| dc.date.accessioned | 2017-12-07T05:04:45Z | - |
| dc.date.available | 2017-12-07T05:04:45Z | - |
| dc.date.issued | 2013-11 | pt_BR |
| dc.identifier.citation | BUENO, 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.uri | http://repositorio.unb.br/handle/10482/29002 | - |
| dc.language.iso | en | pt_BR |
| dc.publisher | Associação Brasileira de Ciências Mecânicas | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | An inverse model for locating skin tumours in 3D using the genetic algorithm with the dual reciprocity boundary element method | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Método inverso | pt_BR |
| dc.subject.keyword | Algoritmos genéticos | pt_BR |
| dc.subject.keyword | Métodos de elementos de contorno | pt_BR |
| dc.subject.keyword | Tumores | pt_BR |
| dc.subject.keyword | Equação biotérmica de Pennes | pt_BR |
| dc.rights.license | Latin 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.doi | https://dx.doi.org/10.1590/S1679-78252013000600001 | pt_BR |
| dc.description.abstract1 | Here, 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. | - |
| Aparece en las colecciones: | Artigos publicados em periódicos e afins
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