Zobrazeno 1 - 10
of 11 098
pro vyhledávání: '"Ianiro A"'
Autor:
Cuéllar, Antonio, Güemes, Alejandro, Ianiro, Andrea, Flores, Óscar, Vinuesa, Ricardo, Discetti, Stefano
Publikováno v:
Cu\'ellar, A., G\"uemes, A., Ianiro, A., Flores, \'O., Vinuesa, R., Discetti, S.: Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements. J. Fluid Mech. 991, A1 (2024)
Different types of neural networks have been used to solve the flow sensing problem in turbulent flows, namely to estimate velocity in wall-parallel planes from wall measurements. Generative adversarial networks (GANs) are among the most promising me
Externí odkaz:
http://arxiv.org/abs/2409.06548
Autor:
Cuéllar, Antonio, Amico, Enrico, Serpieri, Jacopo, Cafiero, Gioacchino, Baars, Woutijn J, Discetti, Stefano, Ianiro, Andrea
We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. We employ a heated thin foil coupled with high-speed infrared thermography. The measurement tec
Externí odkaz:
http://arxiv.org/abs/2410.12778
Autor:
Hou, Chang, Marra, Luigi, Maceda, Guy Y. Cornejo, Jiang, Peng, Chen, Jingguo, Liu, Yutong, Hu, Gang, Chen, Jialong, Ianiro, Andrea, Discetti, Stefano, Meilán-Vila, Andrea, Noack, Bernd R.
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various working conditions, thus allowing the extrapolation for wind conditions
Externí odkaz:
http://arxiv.org/abs/2410.02427
In this work we assess the impact of the limited availability of wall-embedded sensors on the full 3D estimation of the flow field in a turbulent channel with Re{\tau} = 200. The estimation technique is based on a 3D generative adversarial network (3
Externí odkaz:
http://arxiv.org/abs/2409.07348
Complex phenomena can be better understood when broken down into a limited number of simpler "components". Linear statistical methods such as the principal component analysis and its variants are widely used across various fields of applied science t
Externí odkaz:
http://arxiv.org/abs/2407.03173
Autor:
Marra, Luigi, Maceda, Guy Y. Cornejo, Meilán-Vila, Andrea, Guerrero, Vanesa, Rashwan, Salma, Noack, Bernd R., Discetti, Stefano, Ianiro, Andrea
Publikováno v:
J. Fluid Mech. 996 (2024) A26
We propose a data-driven methodology to learn a low-dimensional actuation manifold of controlled flows. The starting point is resolving snapshot flow data for a representative ensemble of actuations. Key enablers for the actuation manifold are isomet
Externí odkaz:
http://arxiv.org/abs/2403.03653
Autor:
Silvia Takanen, Anna Ianiro, Paola Pinnarò, Erminia Infusino, Laura Marucci, Antonella Soriani, Giuseppe Sanguineti, Giuseppe Iaccarino
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5224-5232 (2024)
Background: In high-risk breast cancer patients with skin infiltration, the administration of a uniform dose to superficial tissues is fundamental in order to reduce local skin relapse. A personalized bolus may prevent the potential inadequate dose d
Externí odkaz:
https://doaj.org/article/d2e1844869cc4a1c80a176915691432a
Autor:
Takanen, Silvia1 (AUTHOR) laura.marucci@ifo.it, Ianiro, Anna2 (AUTHOR) erminia.infusino@ifo.it, Pinnarò, Paola1 (AUTHOR), Infusino, Erminia2 (AUTHOR), Marucci, Laura1 (AUTHOR), Soriani, Antonella2 (AUTHOR), Sanguineti, Giuseppe1 (AUTHOR), Iaccarino, Giuseppe2 (AUTHOR)
Publikováno v:
Current Oncology. Sep2024, Vol. 31 Issue 9, p5224-5232. 9p.
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780190245115.001.0001/acref-9780190245115-e-35163
Autor:
Luca ZUCCOLO
Publikováno v:
Diacronie. Studi di Storia Contemporanea, Vol 7, Iss 3, Pp 1-6 (2015)
Externí odkaz:
https://doaj.org/article/70e5f83a74754742b069d9dbc4e2926b