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A deep learning-based hybrid approach for the solution of multiphysics problems in electrosurgery
Multiphysics modeling of evolving topology in the electrosurgical dissection of soft hydrated tissues is a challenging problem, requiring heavy computational resources. In this paper, we propose a hybrid approach that leverages the regressive capabilities of deep convolutional neural networks (CNN)...
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| Publicado no: | Comput Methods Appl Mech Eng |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7448691/ https://ncbi.nlm.nih.gov/pubmed/32863455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cma.2019.112603 |
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