Search results
- 1.0549871 - ÚI 2022 RIV CZ eng J - Journal Article
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
Institutional support: RVO:67985807
Keywords : EEG analysis * independent component analysis * ICA * common spatial patterns * CSP * principal component analysis * PCA * brain computer interface * BCI * features selection
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.304, year: 2021
Method of publishing: Open access
http://dx.doi.org/10.14311/NNW.2021.31.020
Permanent Link: http://hdl.handle.net/11104/0325765File Download Size Commentary Version Access 0549871-aoa.pdf 1 909.2 KB Volně online http://www.nnw.cz/doi/2021/NNW.2021.31.020.pdf Publisher’s postprint require - 2.0547633 - ÚI 2022 RIV CH eng J - Journal Article
Dropka, N. - Böttcher, K. - Holeňa, Martin
Development and Optimization of VGF-GaAs Crystal Growth Process Using Data Mining and Machine Learning Techniques.
Crystals. Roč. 11, č. 10 (2021), č. článku 1218. ISSN 2073-4352. E-ISSN 2073-4352
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : VGF-GaAs growth * machine learning * data mining * decision trees * correlation analysis * PCA biplot * k-means clustering
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.670, year: 2021
Method of publishing: Open access
http://dx.doi.org/10.3390/cryst11101218
Permanent Link: http://hdl.handle.net/11104/0323829File Download Size Commentary Version Access 0547633-afin.pdf 3 3.2 MB OA CC BY 4.0 Publisher’s postprint open-access - 3.0542554 - ÚVGZ 2022 RIV HU eng J - Journal Article
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
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : 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
OECD category: Physical geography
Method of publishing: Limited access
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
Permanent Link: http://hdl.handle.net/11104/0319941 - 4.0542539 - ÚFA 2022 DE eng A - Abstract
Bezděková, B. - Němec, F. - Parrot, M. - Manninen, Y. - Krupařová, Oksana - Krupař, Vratislav
Variations of VLF Wave Intensity Analyzed via Principal Component Analysis.
EGU General Assembly 2021 (vEGU21: Gather Online). Göttingen: European Geosciences Union, 2021.
[EGU General Assembly Conference 2021. 19.04.2021-30.04.2021, online]
Institutional support: RVO:68378289
Keywords : very low frequency (VLF) wave * demeter spacecraft measurements * principal component analysis (PCA)
OECD category: Fluids and plasma physics (including surface physics)
https://meetingorganizer.copernicus.org/EGU21/EGU21-2805.html
Permanent Link: http://hdl.handle.net/11104/0319933 - 5.0536266 - ÚVGZ 2021 RIV CH eng J - Journal Article
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
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : 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
OECD category: Demography
Impact factor: 4.412, year: 2020
Method of publishing: Open access
https://www.mdpi.com/1420-3049/25/18/4121
Permanent Link: http://hdl.handle.net/11104/0314080 - 6.0508536 - ÚFA 2020 DE eng A - Abstract
Huth, Radan - Kučerová, Monika - Pokorná, Lucie
New insights into spatio-temporal variations of trends in multiple variables by multivariate statistical methods.
EMS Annual Meeting Abstracts, Vol. 16. Berlin: European Meteorological Society, 2019.
[EMS Annual Meeting 2019. 09.09.2019-13.09.2019, Copenhagen]
Institutional support: RVO:68378289
Keywords : climate trends * spatial and temporal variation * principal component analysis (PCA) * warming hole * Europe
OECD category: Climatic research
https://meetingorganizer.copernicus.org/EMS2019/EMS2019-87.pdf
Permanent Link: http://hdl.handle.net/11104/0299418 - 7.0504230 - ÚFA 2020 DE eng A - Abstract
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]
Institutional support: RVO:68378289
Keywords : teleconnection patterns * principal component analysis (PCA)
OECD category: Climatic research
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-12737.pdf
Permanent Link: http://hdl.handle.net/11104/0295914 - 8.0503977 - ÚFA 2020 DE eng A - Abstract
Stryhal, Jan - Beranová, Romana - Huth, Radan
Projection of leading modes of circulation variability on self-organizing maps.
Geophysical Research Abstracts. Vol. 21. Göttingen: European Geosciences Union, 2019. EGU2019-5900.
[EGU General Assembly 2019. 07.04.2019-12.04.2019, Vienna]
Institutional support: RVO:68378289
Keywords : synoptic climatology * circulation modes * principal component analysis (PCA)
OECD category: Climatic research
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-5900.pdf
Permanent Link: http://hdl.handle.net/11104/0295725 - 9.0503976 - ÚFA 2020 DE eng A - Abstract
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]
Institutional support: RVO:68378289
Keywords : teleconnection patterns * principal component analysis (PCA)
OECD category: Climatic research
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-6883.pdf
Permanent Link: http://hdl.handle.net/11104/0295724 - 10.0500052 - ÚVGZ 2019 RIV CZ eng J - Journal Article
Černý, J. - Krejza, Jan - Pokorný, R. - Bednář, J.
LaiPen LP 100 – a new device for estimating forest ecosystem leaf area index compared to the etalon: A methodologic case study.
Journal of Forest Science. Roč. 64, č. 11 (2018), s. 455-468. ISSN 1212-4834
Institutional support: RVO:86652079
Keywords : lai-2200 pca * indirect lai * norway spruce * thinning * canopy production index * leaf area efficiency
OECD category: Forestry
https://www.agriculturejournals.cz/publicFiles/112_2018-JFS.pdf
Permanent Link: http://hdl.handle.net/11104/0292209