Search results
- 1.0586964 - ÚCHP 2025 RIV GB eng J - Journal Article
Zhang, X. - Wu, L. - Liu, X. - Wang, T. - Monge, M. - Garcia-Marles, M. - Savadkoohi, M. - Salma, I. - Bastian, S. - Merkel, M. - Weinhold, K. - Wiedensohler, A. - Gerwig, H. - Putaud, J. - Dos Dantos, S.M. - Ondráček, Jakub - Zíková, Naděžda - Minkos, A. - Pandolfi, M. - Alastuey, A. - Querol, X.
New particle formation event detection with convolutional neural networks.
Atmospheric Environment. Roč. 327, 15 June (2024), č. článku 120487. ISSN 1352-2310. E-ISSN 1873-2844
Grant - others:NNSFCH(CN) HZKY20220053; NRDIO(HU) K132254; MSI(ES) PRE-2020 -095498; SMS(ES) PID2019-108990RB-I00; NNSF(CN) 42101470; NNSFD(CN) 72242106; XUAR(CN) 2023D01A57
Institutional support: RVO:67985858
Keywords : ultrafine particles nucleation * ConvNeXt * deep learning * image classification
OECD category: Meteorology and atmospheric sciences
Impact factor: 5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1352231024001626?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0354320File Download Size Commentary Version Access 1-s2.0-S1352231024001626-main.pdf 1 3.1 MB Author’s postprint open-access - 2.0585883 - ASÚ 2025 RIV SK eng J - Journal Article
Parimucha, Š. - Gajdoš, Pavol - Markus, Y. - Kudak, V.
Deep-learning classification of eclipsing binaries.
Contributions of the Astronomical Observatory Skalnaté Pleso. Roč. 54, č. 2 (2024), s. 167-170. ISSN 1335-1842. E-ISSN 1336-0337
Institutional support: RVO:67985815
Keywords : binaries stars * eclipsing * deep-learning
OECD category: Astronomy (including astrophysics,space science)
Impact factor: 0.5, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0353524File Download Size Commentary Version Access 585883.pdf 0 245.4 KB Publisher’s postprint open-access - 3.0585367 - ÚSMH 2025 RIV GB eng J - Journal Article
Košek, F. - Dudák, J. - Tymlová, V. - Žemlička, J. - Řimnáčová, Daniela - Jehlička, J.
Evaluation of pore-fracture microstructure of gypsum rock fragments using micro-CT.
Micron. Roč. 181, JUNE (2024), č. článku 103633. ISSN 0968-4328. E-ISSN 1878-4291
Institutional support: RVO:67985891
Keywords : micro-CT * gypsum * weathering * segmentation * deep learning
OECD category: Bioproducts (products that are manufactured using biological material as feedstock) biomaterials, bioplastics, biofuels, bioderived bulk and fine chemicals, bio-derived novel materials
Impact factor: 2.4, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.micron.2024.103633
Permanent Link: https://hdl.handle.net/11104/0353805 - 4.0583382 - ÚFP 2024 RIV US eng J - Journal Article
Chalupský, J. - Vozda, V. - Hering, J. - Kybic, J. - Burian, Tomáš - Dziarzhytski, S. - Frantálová, K. - Hájková, V. - Jelínek, Šimon - Juha, L. - Keitel, B. - Kuglerová, M. - Kuhlmann, M. - Petryshak, B. - Ruiz-Lopez, M. - Vyšín, L. - Wodzinski, T. - Plönjes, E.
Deep learning for laser beam imprinting.
Optics Express. Roč. 31, č. 12 (2023), s. 19703-19721. ISSN 1094-4087
R&D Projects: GA ČR(CZ) GA20-08452S
EU Projects: European Commission(XE) 654148 - LASERLAB-EUROPE
Institutional support: RVO:61389021
Keywords : deep learning * laser beam imprinting * X-ray
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 3.8, year: 2022
Method of publishing: Open access
https://opg.optica.org/oe/fulltext.cfm?uri=oe-31-12-19703&id=531063
Permanent Link: https://hdl.handle.net/11104/0351354 - 5.0583012 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Smíšek, Radovan - Nejedlý, Petr - Halámek, Josef - Jurák, Pavel - Leinveber, P. - Čurila, K. - Plešinger, Filip
Ultra-High Frequency ECG Deep-Learning Beat Detector Delivering QRS Onsets and Offsets.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 230. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
Institutional support: RVO:68081731
Keywords : QRS duration * ultra-high-frequency ECG * deep learning
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10081715 https://www.cinc.org/archives/2022/pdf/CinC2022-230.pdf
Permanent Link: https://hdl.handle.net/11104/0351424 - 6.0583010 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Nejedlý, Petr - Pavlus, Ján - Smíšek, Radovan - Vargová, Enikö - Koščová, Zuzana - Viščor, Ivo - Jurák, Pavel - Plešinger, Filip
Utilization of Deep Learning and Expert Feature Classifier for Detection of Heart Murmurs.
2022 Computing in Cardiology (CinC). New York: IEEE, 2022, 2022-eptember (2022), č. článku 041. ISBN 979-8-3503-0097-0. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2022 /49./. Tampere (FI), 04.09.2022-07.09.2022]
R&D Projects: GA TA ČR(CZ) FW01010305
Institutional support: RVO:68081731
Keywords : heart murmurs * deep learning * classification
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10081763 https://www.cinc.org/archives/2022/pdf/CinC2022-041.pdf
Permanent Link: https://hdl.handle.net/11104/0351652 - 7.0582514 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Pavlus, Ján - Pijáčková, Kristýna - Koščová, Zuzana - Smíšek, Radovan - Viščor, Ivo - Trávníček, Vojtěch - Nejedlý, Petr - Plešinger, Filip
Using Embedding Extractor and Transformer Encoder for Predicting Neurological Recovery from Coma After Cardiac Arrest.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023. ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
R&D Projects: GA TA ČR(CZ) FW06010766
Institutional support: RVO:68081731
Keywords : Deep learning * Pipelines * Cardiac arrest * Medical services * Predictive models * Electrocardiography * Brain modeling
OECD category: Medical engineering
https://www.cinc.org/archives/2023/pdf/CinC2023-054.pdf https://ieeexplore.ieee.org/document/10364171
Permanent Link: https://hdl.handle.net/11104/0350908 - 8.0581983 - ÚFM 2025 RIV GB eng J - Journal Article
Govind, K. - Oliveros, D. - Dlouhý, Antonín - Legros, M. - Sandfeld, S.
Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY. Roč. 5, č. 1 (2024), č. článku 015006. E-ISSN 2632-2153
Institutional support: RVO:68081723
Keywords : situ * insights * deep learning * synthetic training data * segmentation * data mining * transmission electron microscopy * dislocation * crystal defect
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Method of publishing: Open access
https://iopscience.iop.org/article/10.1088/2632-2153/ad1a4e
Permanent Link: https://hdl.handle.net/11104/0350122 - 9.0578865 - ÚTIA 2024 RIV LT eng C - Conference Paper (international conference)
Flusser, Jan
Visual Object Recognition - Traditional Methods Along with Deep Learning Approaches.
14th Conference of Data Analysis Methods for Software Systems (DAMSS23). Vilnius: Vilnius University Press, 2023 - (Bernatavičienė, J.), s. 23-23. Vilnius University Proceedings, vol. 39. E-ISSN 2669-0233.
[Conference on DATA ANALYSIS METHODS for Software Systems 2023 /14./. Druskininkai (LT), 30.11.2023-02.12.2023]
R&D Projects: GA ČR GA21-03921S
Institutional support: RVO:67985556
Keywords : Visual Object Recognition * Deep Learning Approaches * continuous analysis of the visual field
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2023/ZOI/flusser-0578865.docx
Permanent Link: https://hdl.handle.net/11104/0347795 - 10.0578544 - ÚTIA 2024 RIV AT eng C - Conference Paper (international conference)
Kotera, Jan - Wödlinger, M. - Keglevic, M.
Learned Lossy Image Compression for Volumetric Medical Data.
Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023). https://ceur-ws.org: CEUR-WS, 2023. E-ISSN 1613-0073.
[Computer Vision Winter Workshop (CVWW 2023). Krems a.d. Donau (AT), 15.02.2023-17.02.2023]
Institutional support: RVO:67985556
Keywords : Learned Image Compression * Deep Learning * Medical Image Data
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2023/ZOI/kotera-0578544.pdf
Permanent Link: https://hdl.handle.net/11104/0347651