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0573751 - ÚT 2024 CZ eng C - Konferenční příspěvek (zahraniční konf.)
Parma, Slavomír - Kovanda, Martin - Chlada, Milan - Štefan, Jan - Kober, Jan - Feigenbaum, H. P. - Plešek, Jiří
Deep learning methods for the acoustic emission methods to evaluate an onset of plastic straining.
Engineering Mechanics 2023 : 29th International Conference. Vol. 29. Prague: Institute of Thermomechanics of the Czech Academy of Sciences, 2023 - (Radolf, V.; Zolotarev, I.), s. 187-190. ISBN 978-80-87012-84-0. ISSN 1805-8248. E-ISSN 1805-8256.
[Engineering Mechanics 2023 /29./. Milovy (CZ), 09.05.2023-11.05.2023]
Grant CEP: GA ČR GA23-05338S
Institucionální podpora: RVO:61388998
Klíčová slova: metal plasticity * strain hardening * acoustic emission * neural networks
Obor OECD: Applied mechanics
https://www.engmech.cz/improc/2023/187.pdf
Trvalý link: https://hdl.handle.net/11104/0350003
Parma, Slavomír - Kovanda, Martin - Chlada, Milan - Štefan, Jan - Kober, Jan - Feigenbaum, H. P. - Plešek, Jiří
Deep learning methods for the acoustic emission methods to evaluate an onset of plastic straining.
Engineering Mechanics 2023 : 29th International Conference. Vol. 29. Prague: Institute of Thermomechanics of the Czech Academy of Sciences, 2023 - (Radolf, V.; Zolotarev, I.), s. 187-190. ISBN 978-80-87012-84-0. ISSN 1805-8248. E-ISSN 1805-8256.
[Engineering Mechanics 2023 /29./. Milovy (CZ), 09.05.2023-11.05.2023]
Grant CEP: GA ČR GA23-05338S
Institucionální podpora: RVO:61388998
Klíčová slova: metal plasticity * strain hardening * acoustic emission * neural networks
Obor OECD: Applied mechanics
https://www.engmech.cz/improc/2023/187.pdf
Trvalý link: https://hdl.handle.net/11104/0350003