Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Fernandes, Horácio"'
Remote Controlled laboratories is a teaching and learning tool that increasingly becomes fundamental in the teaching and learning processes at all the levels. A study of available systems highlights a series of limitations on the used programming lan
Externí odkaz:
http://arxiv.org/abs/2211.01217
Autor:
Brotankova, Jana, Svorc, Daniel, Fernandes, Horacio, Farnik, Michal, Mlynar, Jan, Hecko, Jan, Mazur, Daniel, Pfeifer, Miroslav
Publikováno v:
In Fusion Engineering and Design January 2024 198
Publikováno v:
IEEE Transactions on Plasma Science, 2019
The use of deep learning is facilitating a wide range of data processing tasks in many areas. The analysis of fusion data is no exception, since there is a need to process large amounts of data collected from the diagnostic systems attached to a fusi
Externí odkaz:
http://arxiv.org/abs/1910.13257
Autor:
Mendes Rossa Pedro A., Kuriščák Pavel, Silva João N., Veiga José, Loureiro João P. S., Oliveira João, Hachmeister Daniel, Fernandes Horácio
Publikováno v:
Nukleonika, Vol 68, Iss 1, Pp 37-46 (2023)
Remote controlled laboratories had a great push during the COVID-19 pandemic. In fact, they were already out there but lacking in visibility. This external trigger pushed the academy to face a global challenge to start offering remote experiments mor
Externí odkaz:
https://doaj.org/article/4d4c56619b454225bb0ca95eefb1a734
Publikováno v:
Fusion Science and Technology (2018)
Plasma tomography consists in reconstructing the 2D radiation profile in a poloidal cross-section of a fusion device, based on line-integrated measurements along several lines of sight. The reconstruction process is computationally intensive and, in
Externí odkaz:
http://arxiv.org/abs/1802.02242
Autor:
Torres, Andre *, Kovarik, Karel, Markovic, Tomas, Adamek, Jiri, Duran, Ivan, Ellis, Robert, Jerab, Martin, Reboun, Jan, Turjanica, Pavel, Weinzettl, Vladimir, Fernandes, Horacio
Publikováno v:
In Fusion Engineering and Design July 2021 168
Autor:
Assayag, Yuri, Souto, Eduardo, Barreto, Raimundo, Carvalho, Moises, Pazzi, Richard, Fernandes, Horácio
Publikováno v:
Computing; Jan2025, Vol. 107 Issue 1, p1-22, 22p
Akademický článek
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Akademický článek
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Publikováno v:
EPJ Web of Conferences, Vol 225, p 06005 (2020)
This work proposes a solution to identify the number of sources of radiation, as well as their respective intensities and locations based on data acquired by Global Positioning System (GPS) receivers and affordable radiological sensors, such as Geige
Externí odkaz:
https://doaj.org/article/47d1bd0f5bcd406eb4d9036cb0711d95