Výsledky vyhledávání

0549871 - ÚI 2022 RIV CZ eng J - Článek v odborném periodiku
Kerechanin, J. V. - Bobrov, P.D. - Frolov, A. A. - Húsek, Dušan
Independent EEG components are meaningful (for BCI based on motor imagery).
Neural Network World. Roč. 31, č. 5 (2021), s. 355-375. ISSN 1210-0552
Institucionální podpora: RVO:67985807
Klíčová slova: EEG analysis * independent component analysis * ICA * common spatial patterns * CSP * principal component analysis * PCA * brain computer interface * BCI * features selection
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 1.304, rok: 2021
Způsob publikování: Open access
http://dx.doi.org/10.14311/NNW.2021.31.020
Trvalý link: http://hdl.handle.net/11104/0325765

0542554 - ÚVGZ 2022 RIV HU eng J - Článek v odborném periodiku
Egidi, G. - Edwards, Magda - Cividino, S. - Gambella, F. - Salvati, Luca
Exploring non-linear relationships among redundant variables through non-parametric principal component analysis: An empirical analysis with land-use data.
Regional Statistics. Roč. 11, č. 1 (2021), s. 25-41. ISSN 2063-9538. E-ISSN 2064-8243
Výzkumná infrastruktura: CzeCOS III - 90123
Institucionální podpora: RVO:86652079
Klíčová slova: species-diversity * landscape * growth * region * assemblages * indicators * indexes * sprawl * level * city * multidimensional techniques * spearman non-parametric coefficients * Principal Component Analysis (PCA) * large data sets * indicators * regional science
Obor OECD: Physical geography
Způsob publikování: Omezený přístup
https://www.academia.edu/44560921/Exploring_non_linear_relationships_among_redundant_variables_through_non_parametric_principal_component_analysis_An_empirical_analysis_with_land_use_data
Trvalý link: http://hdl.handle.net/11104/0319941

0536266 - ÚVGZ 2021 RIV CH eng J - Článek v odborném periodiku
Kos, J. - Bak, A. - Kozik, V. - Jankech, T. - Strharsky, T. - Swietlicka, A. - Michnova, H. - Hošek, J. - Smolinski, A. - Oravec, Michal - Devinsky, F. - Hutta, M. - Jampílek, J.
Biological Activities and ADMET-Related Properties of Novel Set of Cinnamanilides dagger.
Molecules. Roč. 25, č. 18 (2020), č. článku 4121. E-ISSN 1420-3049
Grant CEP: GA MŠMT(CZ) EF16_019/0000797
Institucionální podpora: RVO:86652079
Klíčová slova: molecular lipophilicity * drug discovery * log-p * som-4d-qsar * prediction * hybrids * agents * pk(a) * dye * cinnamamides * synthesis * antistaphylococcal activity * MTT assay * cytotoxicity * lipophilicity * pca * ive-pls * quantitative structure-property relationships
Obor OECD: Demography
Impakt faktor: 4.412, rok: 2020
Způsob publikování: Open access
https://www.mdpi.com/1420-3049/25/18/4121
Trvalý link: http://hdl.handle.net/11104/0314080

0504230 - ÚFA 2020 DE eng A - Abstrakt
Pískala, V. - Huth, Radan
Variations in the Northern Hemisphere teleconnections since 1871.
Geophysical Research Abstracts. Vol. 21. Göttingen: European Geosciences Union, 2019. EGU2019-12737.
[EGU General Assembly 2019. 07.04.2019-12.04.2019, Vienna]
Institucionální podpora: RVO:68378289
Klíčová slova: teleconnection patterns * principal component analysis (PCA)
Obor OECD: Climatic research
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-12737.pdf
Trvalý link: http://hdl.handle.net/11104/0295914

0503976 - ÚFA 2020 DE eng A - Abstrakt
Beranová, Romana - Huth, Radan
Climate impacts of the teleconnection patterns are sensitive to how the patterns are defined.
Geophysical Research Abstracts. Vol. 21. Göttingen: European Geosciences Union, 2019. EGU2019-6883.
[EGU General Assembly 2019. 07.04.2019-12.04.2019, Vienna]
Institucionální podpora: RVO:68378289
Klíčová slova: teleconnection patterns * principal component analysis (PCA)
Obor OECD: Climatic research
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-6883.pdf
Trvalý link: http://hdl.handle.net/11104/0295724