نتائج البحث

Comparison of several phase retrieval and phase correction methods for single-image in-line X-ray phase contrast tomography

• Authors : Boone, Matthieu; Wernersson, Erik LG; Dierick, Manuel

Subjects: Physics and Astronomy; Tomographic reconstruction; X-ray computed tomography

• Source: IEEE 10th International symposium on biomedical imaging: From nano to macro, Proceedings ; ISBN: 9781467364546

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A review of optimization methods for the identification of complex models

• Authors : Le Riche, Rodolphe;

Subjects: numerical optimization; local versus global optimization; identification

• Source: https://hal.archives-ouvertes.fr/cel-01081272 ; Doctoral. France. 2014.

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A review of optimization methods for the identification of complex models

• Authors : Le Riche, Rodolphe;

Subjects: identification; inverse problem solving; numerical optimization

• Source: https://hal.science/cel-01081272 ; Doctoral. France. 2014.

تفاصيل العنوان

A review of optimization methods for the identification of complex models

• Authors : Le Riche, Rodolphe;

Subjects: identification; inverse problem solving; numerical optimization

• Source: https://hal.science/cel-01081272 ; Doctoral. France. 2014.

تفاصيل العنوان

A review of optimization methods for the identification of complex models

• Authors : Le Riche, Rodolphe;

Subjects: identification; inverse problem solving; numerical optimization

• Source: https://hal.science/cel-01081272 ; Doctoral. France. 2014.

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Análisis, diseño e implementación de tecnología basada en redes neuronales de regresión generalizada para la solución de problemas inversos, aplicada en espectrometría y dosimetría neutrónica

• Authors : MA. DEL ROSARIO MARTINEZ BLANCO

Subjects: info:eu-repo/classification/cti/7; Inteligencia artificial; solución de problemas inversos

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Model-based reconstruction of magnetisation distributions in nanostructures from electron optical phase images

• Authors : Caron, Jan;

Subjects: info:eu-repo/classification/ddc/530; electron holography; electron tomographyDE

• Source: Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich, Reihe Schlüsseltechnologien / Key Technologies 177, 1 Online-Ressource (XXI, 183 Seiten)

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Photoelastic Stress Field Recovery Using Deep Convolutional Neural Network

• Authors : Bo Tao; Yan Wang; Xinbo Qian

Subjects: neural network; deep learning; inverse problem solving

• Source: Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)

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Estimation of left ventricular parameters based on deep learning method

• Authors : Li Cai; Jie Jiao; Pengfei Ma

Subjects: left ventricular geometric parametric model; deep learning method based on neural network; inverse problem solving

• Source: Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6638-6658 (2022)

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Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling

• Authors : HE Xin; SONG Meiqi; LIU Xiaojing

Subjects: markov chain monte carlo sampling; surrogate model; uncertainty quantification

• Source: He jishu, Vol 46, Iss 12, Pp 120602-120602 (2023)

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