Search results
- 1.0580114 - ÚVGZ 2024 RIV CH eng J - Journal Article
Petrik, Peter - Grote, R. - Gömöry, D. - Kurjak, D. - Petek-Petrik, Anja - Lamarque, L. J. - Sliacka Konopkova, A. - Mukarram, M. - Debta, H. - Fleischer, P.
The Role of Provenance for the Projected Growth of Juvenile European Beech under Climate Change.
Forests. Roč. 14, č. 1 (2023), č. článku 26. E-ISSN 1999-4907
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079 ; RVO:67985939
Keywords : fagus-sylvatica l. * norway spruce * environmental-conditions * phenotypic plasticity * summer drought * future climate * radial growth * responses * forests * populations * Fagus sylvatica * eco distance * phenotypic plasticity * neural network model * common garden * local adaptation
OECD category: Forestry; Forestry (BU-J)
Impact factor: 2.9, year: 2022
Method of publishing: Open access
https://www.mdpi.com/1999-4907/14/1/26
Permanent Link: https://hdl.handle.net/11104/0348884File Download Size Commentary Version Access The Role of Provenance for the Projected Growth of JuvenileEuropean Beech under Climate Change.pdf 4 3.6 MB Publisher’s postprint open-access - 2.0579026 - FZÚ 2024 RIV GB eng J - Journal Article
Saeidfirozeh, H. - Myakalwar, A. K. - Kubelík, Petr - Ghaderi, A. - Laitl, V. - Petera, L. - Rimmer, P. B. - Shorttle, O. - Heays, A.N. - Křivková, A. - Krůs, M. - Civiš, S. - Yanez, J. - Képeš, E. - Pořízka, P. - Ferus, M.
ANN-LIBS analysis of mixture plasmas: detection of xenon.
Journal of Analytical Atomic Spectrometry. Roč. 37, č. 9 (2022), s. 1815-1823. ISSN 0267-9477. E-ISSN 1364-5544
Institutional support: RVO:68378271
Keywords : artificial neural network method * characterising crucial physical plasma parameters * laser-induced breakdown spectra, * xenon
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 3.4, year: 2022
Method of publishing: Limited access
https://doi.org/10.1039/d2ja00132b
Permanent Link: https://hdl.handle.net/11104/0347900 - 3.0577938 - ÚTIA 2024 RIV GB eng J - Journal Article
Flusser, M. - Somol, Petr
Efficient anomaly detection through surrogate neural networks.
Neural Computing & Applications. Roč. 34, č. 23 (2022), s. 20491-20505. ISSN 0941-0643. E-ISSN 1433-3058
Institutional support: RVO:67985556
Keywords : Anomaly detector * Neural network * Model transfer * Detector ensemble * High-performance anomaly detection
OECD category: Automation and control systems
Impact factor: 6, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2023/RO/somol-0577938.pdf https://link.springer.com/article/10.1007/s00521-022-07506-9
Permanent Link: https://hdl.handle.net/11104/0347645 - 4.0577393 - ÚPT 2024 RIV US eng J - Journal Article
Pijáčková, Kristýna - Nejedlý, Petr - Křemen, V. - Plešinger, Filip - Mívalt, F. - Lepková, K. - Pail, Martin - Jurák, Pavel - Worrell, G. A. - Brázdil, M. - Klimeš, Petr
Genetic algorithm designed for optimization of neural network architectures for intracranial EEG recordings analysis.
Journal of Neural Engineering. Roč. 20, č. 3 (2023), č. článku 036034. ISSN 1741-2560. E-ISSN 1741-2552
R&D Projects: GA MZd(CZ) NU22-08-00278; GA ČR(CZ) GA22-28784S; GA MŠMT(CZ) LX22NPO5107
Institutional support: RVO:68081731
Keywords : intracranial EEG * genetic algorithms * optimization * neural network * deep learning
OECD category: Neurosciences (including psychophysiology
Impact factor: 4, year: 2022
Method of publishing: Open access
https://iopscience.iop.org/article/10.1088/1741-2552/acdc54
Permanent Link: https://hdl.handle.net/11104/0348045 - 5.0576905 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
Lébl, Matěj - Flusser, Jan
Invariant Convolutional Networks.
Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023). Piscataway: IEEE, 2023, č. článku 10319998. ISBN 979-8-3503-2541-6.
[International Conference on Image Processing Theory, Tools and Applications (IPTA 2023) /12./. Paris (FR), 16.10.2023-19.10.2023]
R&D Projects: GA ČR GA21-03921S
Grant - others:AV ČR(CZ) StrategieAV21/1
Program: StrategieAV
Institutional support: RVO:67985556
Keywords : Neural network * augmentation * blur
OECD category: Robotics and automatic control
http://library.utia.cas.cz/separaty/2023/ZOI/flusser-0576905.pdf
Permanent Link: https://hdl.handle.net/11104/0346495 - 6.0574339 - ÚVGZ 2024 RIV CH eng J - Journal Article
Meitner, Jan - Balek, Jan - Bláhová, Monika - Semerádová, Daniela - Hlavinka, Petr - Lukas, V. - Jurečka, František - Žalud, Zdeněk - Klem, Karel - Anderson, M. C. - Wouter, D. - Fischer, Milan - Trnka, Miroslav
Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic.
Agronomy. Roč. 13, č. 7 (2023), č. článku 1669. E-ISSN 2073-4395
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : crop yield loss * drought * remote sensing * artificial neural network
OECD category: Agriculture
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2073-4395/13/7/1669
Permanent Link: https://hdl.handle.net/11104/0344681File Download Size Commentary Version Access agronomy-13-01669.pdf 8 20 MB Publisher’s postprint open-access - 7.0574165 - GFÚ 2024 RIV CH eng J - Journal Article
Kolář, Petr - Waheed, U. B. - Eisner, L. - Matoušek, P.
Arrival times by Recurrent Neural Network for induced seismic events from a permanent network.
Frontiers in Big Data. Roč. 6, August (2023), č. článku 1174478. E-ISSN 2624-909X
Institutional support: RVO:67985530
Keywords : Recurrent Neural Network * automatic arrival time detection * location * magnitude * hydraulic fracturing * induced seismicity * traffic light system
OECD category: Volcanology
Impact factor: 3.1, year: 2022
Method of publishing: Open access
https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/full
Permanent Link: https://hdl.handle.net/11104/0344502File Download Size Commentary Version Access Kolar2023FrontiersBigData.pdf 4 3 MB Publisher’s postprint open-access - 8.0573225 - FZÚ 2024 RIV US eng J - Journal Article
Chalupský, Jaromír - Vozda, Vojtěch - Hering, J. - Kybic, J. - Burian, Tomáš - Dziarzhytski, S. - Frantálová, Kateřina - Hájková, Věra - Jelínek, Šimon - Juha, Libor - Keitel, B. - Kuglerová, Zuzana - Kuhlmann, M. - Petryshak, B. - Ruiz-Lopez, M. - Vyšín, Luděk - 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:68378271
Keywords : ablation imprinting methods * multi-layer convolutional neural network (U-Net) method employed for the first time
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 3.8, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0343695File Download Size Commentary Version Access 0573225.pdf 0 16.8 MB Optica Open Access Publishing Agreement Publisher’s postprint open-access - 9.0571255 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Lébl, Matěj - Šroubek, Filip - Flusser, Jan
Impact of Image Blur on Classification and Augmentation of Deep Convolutional Networks.
Image Analysis: 23rd Scandinavian Conference, SCIA 2023. Cham: Springer, 2023 - (Gade, R.), s. 108-117. Lecture notes on computer science, LNCS 13886. ISBN 978-3-031-31437-7.
[Scandinavian Conference on Image Analysis 2023 /23./. Levi (FI), 18.04.2023-21.04.2023]
R&D Projects: GA ČR GA21-03921S
Institutional support: RVO:67985556
Keywords : Image recognition * Blur * Augmentation of the training set * Convolutional neural network
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2023/ZOI/lebl-0571255.pdf
Permanent Link: https://hdl.handle.net/11104/0342934 - 10.0570880 - ÚPT 2024 RIV GB eng J - Journal Article
Shamaei, Amirmohammad - Starčuková, Jana - Starčuk jr., Zenon
Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data.
Computers in Biology Medicine. Roč. 158, May (2023), č. článku 106837. ISSN 0010-4825. E-ISSN 1879-0534
R&D Projects: GA MŠMT(CZ) EF18_046/0016045; GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) LM2023050
EU Projects: European Commission(XE) 813120 - INSPiRE-MED
Institutional support: RVO:68081731
Keywords : MR spectroscopy * Inverse problem * Deep learning * Machine learning * Convolutional neural network * Metabolite quantification
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 7.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0010482523003025
Permanent Link: https://hdl.handle.net/11104/0342210File Download Size Commentary Version Access 2023_Shamaei_ComputersInBiologyMedicine.pdf 4 8.6 MB OA - CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ Publisher’s postprint open-access
Research data: Zenodo