المؤلفون: Jiaming Liang, Shengze Cai, Chao Xu, Jian Chu

المصدر: IET Cyber-systems and Robotics (2020)

مصطلحات موضوعية: image reconstruction, tomography, biomimetics, velocimeters, velocity measurement, neural nets, cameras, flow visualisation, enhanced tomographic piv reconstruction, deep neural networks, tomographic particle image velocimetry, three-dimensional flow field, spatial particle distribution, multiple cameras, different viewing angles, popular reconstruction method, multiplicative algebraic reconstruction technique, high-computational speed, low particle seeding reconstruction, dense particle distributions, symmetric encoder–decoder, reconstruction quality, particle field, mart approach, regenerated image, blurred particles, irregular particles, trained neural network, ghost particles, filtering method, reconstruction accuracy, estimated velocity fields, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2019.0040; https://doaj.org/toc/2631-6315

URL الوصول: https://doaj.org/article/d9633808903740328b27bf6692d93d14

المؤلفون: Chao Xu, Jiaming Liang, Shengze Cai, Jian Chu

المصدر: IET Cyber-systems and Robotics (2020)

مصطلحات موضوعية: Flow visualization, blurred particles, Algebraic Reconstruction Technique, tomographic particle image velocimetry, Computer science, Iterative reconstruction, tomography, high-computational speed, lcsh:QA75.5-76.95, reconstruction accuracy, flow visualisation, enhanced tomographic piv reconstruction, multiple cameras, low particle seeding reconstruction, cameras, Computer vision, biomimetics, regenerated image, ghost particles, velocity measurement, filtering method, mart approach, Artificial neural network, spatial particle distribution, popular reconstruction method, reconstruction quality, business.industry, lcsh:Q300-390, irregular particles, image reconstruction, multiplicative algebraic reconstruction technique, estimated velocity fields, neural nets, dense particle distributions, symmetric encoder–decoder, deep neural networks, three-dimensional flow field, Particle image velocimetry, velocimeters, trained neural network, different viewing angles, Particle, particle field, Seeding, lcsh:Electronic computers. Computer science, Tomography, Artificial intelligence, lcsh:Cybernetics, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd3d71f6dbe788ed02a699443eecd66
https://doi.org/10.1049/iet-csr.2019.0040

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