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Akademický článek

Pareto Principle in Datamining: an Above-Average Fencing Algorithm

Autor: K. Macek

Publikováno v: Acta Polytechnica, Vol 48, Iss 6 (2008)

This paper formulates a new datamining problem: which subset of input space has the relatively highest output where the minimal size of this subset is given. This can be useful where usual datamining methods fail because of error distribution asymmet

Externí odkaz: https://doaj.org/article/3eff4bc7e5a84d11bfce20b1f0f63781

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Akademický článek

Anisotropy and Inhomogeneity in Extrudates of Aluminium Alloys

Autor: K. Macek, V. Očenášek, V. Sedláček

Publikováno v: Acta Polytechnica, Vol 40, Iss 4 (2000)

Anisotropy and inhomogeneity of mechanical properties and texture of microstructure originating in hot extrusion process depend not only on the type of the alloy, state of the billet and extrusion parameters, but also on the shape and size of extruda

Externí odkaz: https://doaj.org/article/944df125d5aa46f2a880fff85b7e8dbb

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Implementation of Smoothing Filtering Methods for the Purpose of Improvement Inverted Pendulum’s Trajectory

Autor: Magda Żołubak, Aleksandra Kawala-Sterniuk, K. Macek-Kamińska, Dzhulietta Siui, Mariusz Pelc, Štěpán Ožana, Barbara Grochowicz

Publikováno v: PRZEGLĄD ELEKTROTECHNICZNY. 1:112-115

W niniejszym artykule zastosowano filtry wygladzające w celu wygladzenia trajektorii ruchu odwroconego wahadla. Filtracja zostala uzyta do usuniecia zaklocen . Autorzy przetestowali rozne klasyczne filtry wygladzające na wahadle odwroconym, ktory j

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01d6ab7b44c94eb389c66bb0e77d527e
https://doi.org/10.15199/48.2020.04.23

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Initial Study on Implementation of the Low-Frequency Wave Markers for the Purpose of Diagnostic Tests’ Performance and Neurofeedback Therapy

Autor: Mariusz Pelc, Aleksandra Kawala-Sterniuk, Barbara Grochowicz, Stepan Ozana, K. Macek-Kamińska, Magda Zolubak

Publikováno v: Studies in Logic, Grammar and Rhetoric, Vol 60, Iss 1, Pp 101-115 (2019)

The paper focuses on automation of signal processing, which also considers analysis of biomedical data, such as EEG. The results of the study prove that this enables a better understanding of signal changes and makes it possible to address some speci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013f063ad10ed402b05793a51ee0b240
https://doi.org/10.2478/slgr-2019-0048

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Application of neural networks in diagnostics of chemical compounds based on their infrared spectra

Autor: Sławomir Stemplewski, K. Macek-Kamińska

Publikováno v: Ecological Chemistry and Engineering S-Chemia I Inzynieria Ekologiczna S. 24(1):107-118

The paper presents possibilities of using the so-called „finger-print“ identification method and artificial neural network (ANN) for diagnosis of chemical compounds. The construction of a tool specifically developed for this purpose and the ANN,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ee03adddaee4b53efe8e18b7af8f47f
https://doi.org/10.1515/eces-2017-0008

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Application of low frequency wave markers for diagnostic tests and neurofeedback therapy

Autor: Aleksandra Kawala-Sterniuk, Joanna Kolańska-Płuska, Stepan Ozana, K. Macek-Kamińska, Magda Zolubak, Barbara Grochowicz, Mariusz Pelc, Dzhulietta Siui

Publikováno v: 2019 Progress in Applied Electrical Engineering (PAEE).

Automation of EEG signal analysis processes allows better understanding of signal changes and assigning them to specific disturbances. It is possible to describe these changes mathematically and allows to create markers of brain disorders. The articl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93b9fa1a5bdc226c53350d60613270b9
https://doi.org/10.1109/paee.2019.8788972

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