Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sina Beyraghi"'
Autor:
Sina Beyraghi, Fardin Ghorbani, Javad Shabanpour, Mir Emad Lajevardi, Vahid Nayyeri, Pai-Yen Chen, Omar M. Ramahi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract This paper studies the feasibility of a deep neural network (DNN) approach for bone fracture diagnosis based on the non-invasive propagation of radio frequency waves. In contrast to previous “semi-automated” techniques, where X-ray image
Externí odkaz:
https://doaj.org/article/35ce103be7b5476e9501aadd26269462
Autor:
Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour, Homayoon Oraizi, Hossein Soleimani, Mohammad Soleimani
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Beyond the scope of conventional metasurface, which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurface design. In this paper, benefi
Externí odkaz:
https://doaj.org/article/6ddb4d8fd4794af39fa08837cff13b83
This paper presents a new efficient and robust method for the automatic design of Metasurface (MS) by using a Deep Neural Network (DNN), which has less complexity and design time compared to conventional MS design methods. The main contribution of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1c51c6305486ea1466878c7a31585a3
https://doi.org/10.36227/techrxiv.21507918.v1
https://doi.org/10.36227/techrxiv.21507918.v1
Autor:
Javad Shabanpour, Fardin Ghorbani, Sina Beyraghi, Hossein Soleimani, Mohammad Soleimani, Homayoon Oraizi
Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we have used the Deep Neural Network (DNN) for the generation of desired
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfea4250dee14f23424c783eea1705d
http://arxiv.org/abs/2105.08508
http://arxiv.org/abs/2105.08508
Autor:
Hossein Soleimani, Sina Beyraghi, Mohammad Soleimani, Homayoon Oraizi, Fardin Ghorbani, Javad Shabanpour
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports
Scientific Reports
Beyond the scope of conventional metasurface, which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurface design. In this paper, benefiting from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49c539d918026864c59bc2431bde01ce
https://doi.org/10.1038/s41598-021-86588-2
https://doi.org/10.1038/s41598-021-86588-2
Monitoring and controlling the state of polarization of electromagnetic waves is of significant interest for various basic and practical applications such as linear position sensing and medical imaging. Here, we propose the first conformal digital me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06fd8c17d10eb3f3e20a108d25adb928
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Scientific Reports
Scientific Reports
In this paper, for the first time, a new generation of ultrafast reprogrammable multi-mission bias encoded metasurface is proposed for dynamic THz wavefront engineering by employing VO2 reversible and fast monoclinic to tetragonal phase transition. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39ee9ea234d52ad6640070681453eaff
http://arxiv.org/abs/1910.14272
http://arxiv.org/abs/1910.14272