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- 1.0533904 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Buša, R. - Dauxais, Y. - Ecklebe, S. - Dropka, N. - Holeňa, Martin
Extraction of Classification Rules from Sequences of Crystal Growth Data.
Proceedings of the 20th Conference Information Technologies - Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Holeňa, M.; Horváth, T.; Kelemenová, A.; Mráz, F.; Pardubská, D.; Plátek, M.; Sosík, P.), s. 101-107. CEUR Workshop Proceedings, 2718. ISSN 1613-0073.
[ITAT 2020: Information Technologies - Applications and Theory /20./. Oravská Lesná (SK), 18.09.2020-22.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Classification Rules * Sequence analysis * Discriminant chronicles * Chronicles mining * Crystal growth data
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2718/paper02.pdf
Permanent Link: http://hdl.handle.net/11104/0312134File Download Size Commentary Version Access 0533904-aw.pdf 3 751.6 KB CC BY 4.0 Publisher’s postprint open-access - 2.0477799 - ÚI 2018 RIV DE eng C - Conference Paper (international conference)
Dropka, N. - Holeňa, Martin - Frank-Rotsch, C.
TMF Otimization in VGF Crystal Growth of GaAs by Artificial Neural Networks and Gaussian Process Models.
Electrotechnologies for Material Processing. Hannover: Vulkan, 2017 - (Baake, E.; Nacke, B.), s. 203-208. ISBN 978-3-80273-095-5.
[International UIE-Congress on Electrotechnologies for Material Processing /18./. Hannover (DE), 06.06.2017-09.06.2017]
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : crystal growth * travelling magnetic field * artificial neural networks * multilayer perceptron * Gaussian process
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Permanent Link: http://hdl.handle.net/11104/0274019File Download Size Commentary Version Access a0477799.pdf 5 726.2 KB Publisher’s postprint require