Search results

  1. 1.
    0573674 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
    Hlaváčková-Schindler, Kateřina - Pacher, C. - Plant, C. - Lazarenko, M. - Paluš, Milan - Hlinka, Jaroslav - Kathpalia, Aditi - Brunovský, M.
    Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results.
    2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 80-83. ISBN 979-8-3503-1218-8.
    [MEASUREMENT 2023: International Conference on Measurement /14./. Smolenice (SK), 29.05.2023-31.05.2023]
    R&D Projects: GA ČR(CZ) GF21-14727K
    Institutional support: RVO:67985807
    Keywords : Major Depressive Disorder * Interactive Clustering * Granger Causality * Classification Methods
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164584
    Permanent Link: https://hdl.handle.net/11104/0344055
     
     
  2. 2.
    0572383 - BC 2024 RIV GB eng J - Journal Article
    Saegerman, C. - Humblet, M. - Leandri, M. - Gonzalez, G. - Heyman, P. - Sprong, H. - L'Hostis, M. - Moutailler, S. - Bonnet, S.I. - Haddad, N. - Boulanger, N. - Leib, S. - Hoch, T. - Thiry, E. - Bournez, L. - Kerlik, J. - Velay, A. - Jore, S. - Jourdain, E. - Gilot-Fromont, E. - Brugger, K. - Geller, J. - Studahl, M. - Knap, N. - Avšič-Županc, T. - Růžek, Daniel - Zomer, T. - Bødker, R. - Berger, T.F.H. - Martin-Latil, S. - De Regge, N. - Raffetin, A. - Lacour, S.A. - Klein, M. - Lernout, T. - Quillery, E. - Hubálek, Zdeněk - Ruiz-Fons, F. - Estrada-Peña, A. - Fravalo, P. - Kooh, P. - Etore, F. - Gossner, C.M. - Purse, B.
    First Expert Elicitation of Knowledge on Possible Drivers of Observed Increasing Human Cases of Tick-Borne Encephalitis in Europe.
    Ecology Letters. Roč. 15, č. 3 (2023), č. článku 791. ISSN 1461-023X. E-ISSN 1461-0248
    Institutional support: RVO:60077344 ; RVO:68081766
    Keywords : tick-borne encephalitis (TBE) * flavivirus * tbev * genus Ixodes * Dermacentor reticulatus * drivers * expert elicitation * ticks * multi-criteria decision analysis (MCDA) * clustering analysis * sensitivity analysis * uncertainty
    OECD category: Virology; Epidemiology (UBO-W)
    Impact factor: 8.8, year: 2022
    Method of publishing: Open access
    https://www.mdpi.com/1999-4915/15/3/791
    Permanent Link: https://hdl.handle.net/11104/0345414
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    Saegerman_2023_Viruses.pdf0701.1 KBPublisher’s postprintopen-access
     
     
  3. 3.
    0571102 - ÚJF 2024 RIV CH eng J - Journal Article
    Becker, K. S. - Launey, K. D. - Ekström, A. - Dytrych, Tomáš
    Ab initio symmetry-adapted emulator for studying emergent collectivity and clustering in nuclei.
    Frontiers in Physics. Roč. 11, MAR (2023), č. článku 1064601. ISSN 2296-424X. E-ISSN 2296-424X
    R&D Projects: GA ČR(CZ) GA22-14497S
    Institutional support: RVO:61389005
    Keywords : ab initio symmetry-adapted no-core shell model * nuclear collectivity * nuclear clustering * eigenvector continuation * emulators * Li-6 * C-12
    OECD category: Particles and field physics
    Impact factor: 3.1, year: 2022
    Method of publishing: Open access
    https://doi.org/10.3389/fphy.2023.1064601
    Permanent Link: https://hdl.handle.net/11104/0342403
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    0571102.pdf02.4 MBOpen Access - CC licencePublisher’s postprintopen-access
     
     
  4. 4.
    0571055 - ÚVGZ 2024 RIV CH eng J - Journal Article
    Shinde, H. - Dudhate, A. - Sathe, A. - Paserkar, N. - Wagh, Sopan - Kadam, U. S.
    Gene Coexpression Analysis Identifies Genes Associated with Chlorophyll Content and Relative Water Content in Pearl Millet.
    Plants. Roč. 12, č. 6 (2023), č. článku 1412. E-ISSN 2223-7747
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : gene expression * wgcna * gene clustering * module * pathways * pearl millet * relative water content
    OECD category: Plant sciences, botany
    Impact factor: 4.5, year: 2022
    Method of publishing: Open access
    https://www.mdpi.com/2223-7747/12/6/1412
    Permanent Link: https://hdl.handle.net/11104/0342365
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    Shinde-2023-Gene-coexpression-analysis-identifi.pdf62.5 MBPublisher’s postprintopen-access
     
     
  5. 5.
    0567331 - FZÚ 2023 RIV GB eng J - Journal Article
    Tanidis, Konstantinos - Urban, Federico - Camera, S.
    Constraining ultra-high-energy cosmic ray composition through cross-correlations.
    Journal of Cosmology and Astroparticle Physics. Roč. 2022, č. 12 (2022), č. článku 003. ISSN 1475-7516. E-ISSN 1475-7516
    Institutional support: RVO:68378271
    Keywords : ultra high energy cosmic rays * galactic magnetic fields * galaxy clustering
    OECD category: Particles and field physics
    Impact factor: 6.3, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1088/1475-7516/2022/12/003
    Permanent Link: https://hdl.handle.net/11104/0338592
     
     
  6. 6.
    0562267 - GFÚ 2023 RIV GB eng J - Journal Article
    Kumar, U. - Legendre, Cédric P. - Lee, J.-C. - Zhao, L. - Chao, B. F.
    On analyzing GNSS displacement field variability of Taiwan: Hierarchical Agglomerative Clustering based on Dynamic Time Warping technique.
    Computers and Geosciences. Roč. 169, December (2022), č. článku 105243. ISSN 0098-3004. E-ISSN 1873-7803
    Institutional support: RVO:67985530
    Keywords : displacement field * dynamic time warping * hierarchical agglomerative clustering algorithm
    OECD category: Volcanology
    Impact factor: 4.4, year: 2022
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0098300422001923
    Permanent Link: https://hdl.handle.net/11104/0334621
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    Kumar2022ComputersGeosciences.pdf09.2 MBPublisher’s postprintrequire
     
     
  7. 7.
    0560472 - GFÚ 2023 RIV GB eng J - Journal Article
    Tassara, C. - Cesca, C. - Miller, M. - López-Comino, J. Á. - Sippl, Christian - Cortés-Aranda, J. - Schurr, B.
    Seismic source analysis of two anomalous earthquakes in Northern Chile.
    Journal of South American Earth Sciences. Roč. 119, November (2022), č. článku 103948. ISSN 0895-9811. E-ISSN 1873-0647
    Institutional support: RVO:67985530
    Keywords : moment tensor inversion * rupture directivity * earthquake clustering * Northern Chile
    OECD category: Volcanology
    Impact factor: 1.8, year: 2022
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0895981122002371
    Permanent Link: https://hdl.handle.net/11104/0333395
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    Tassara2022JSAES.pdf110.3 MBPublisher’s postprintrequire
     
     
  8. 8.
    0557467 - ÚTIA 2023 RIV CZ eng V - Research Report
    Uglickich, Evženie - Nagy, Ivan
    Recursive mixture estimation with univariate multimodal Poisson variable.
    Prague: UTIA AV ČR, v. v. i.,, 2022. 14 s. Research Report, 2394.
    R&D Projects: GA MŠMT(CZ) 8A19009
    Keywords : recursive mixture estimation * mixture of Poisson distributions * clustering and classification
    OECD category: Statistics and probability
    http://library.utia.cas.cz/separaty/2022/ZS/uglickich-0557467.pdf
    Permanent Link: http://hdl.handle.net/11104/0331506
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    0557467.pdf1686.8 KBOtheropen-access
     
     
  9. 9.
    0555850 - ÚMG 2022 RIV CZ eng O - Others
    Pinkas, Dominik - Vlčák, Erik - Filimonenko, Vlada - Janáček, J. - Hozák, Pavel
    Project „Pattern“ – an online tool for spatial analysis of immunolabeling in electron microscopy.
    2021
    R&D Projects: GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) EF16_013/0001775; GA MŠMT(CZ) EF18_046/0016045; GA TA ČR(CZ) TE01020118
    Research Infrastructure: Czech-BioImaging II - 90129
    Institutional support: RVO:68378050
    Keywords : Electron microscopy * imunolabeling * colocalization * clustering
    OECD category: Cell biology
    Permanent Link: http://hdl.handle.net/11104/0330307
     
     
  10. 10.
    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/11104/0323829
    FileDownloadSizeCommentaryVersionAccess
    0547633-afin.pdf33.2 MBOA CC BY 4.0Publisher’s postprintopen-access
     
     

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