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of 43
pro vyhledávání: '"Bukshtynov, Vladislav"'
A novel and highly efficient computational framework for reconstructing binary-type images suitable for models of various complexity seen in diverse biomedical applications is developed and validated. Efficiency in computational speed and accuracy is
Externí odkaz:
http://arxiv.org/abs/2304.02601
An efficient computational approach for imaging binary-type physical properties suitable for various models in biomedical applications is developed and validated. The proposed methodology includes gradient-based multiscale optimization with multileve
Externí odkaz:
http://arxiv.org/abs/2211.06227
Publikováno v:
In Computers and Mathematics with Applications 1 March 2024 157:215-234
An efficient computational approach for optimal reconstruction of binary-type images suitable for models in various applications including biomedical imaging is developed and validated. The methodology includes derivative-free optimization supported
Externí odkaz:
http://arxiv.org/abs/2011.01790
An efficient computational approach for optimal reconstructing parameters of binary-type physical properties for models in biomedical applications is developed and validated. The methodology includes gradient-based multiscale optimization with multil
Externí odkaz:
http://arxiv.org/abs/2007.14529
The Inverse Electrical Impedance Tomography (EIT) problem on recovering electrical conductivity tensor and potential in the body based on the measurement of the boundary voltages on the electrodes for a given electrode current is analyzed. A PDE cons
Externí odkaz:
http://arxiv.org/abs/1809.05936
Publikováno v:
Journal of Computational and Applied Mathematics, 346, 2019, 84-109
This paper presents computational analysis of the inverse Stefan type free boundary problem, where information on the boundary heat flux is missing and must be found along with the temperature and the free boundary. We pursue optimal control framewor
Externí odkaz:
http://arxiv.org/abs/1801.02735
Autor:
Bukshtynov, Vladislav
In this work we propose and validate a computational method for reconstructing constitutive relations (material properties) in complex multiphysics phenomena based on incomplete and noisy measurements which is applicable to different problems arising
Externí odkaz:
http://hdl.handle.net/11375/11859
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