Search results
- 1.0585152 - ÚVGZ 2025 RIV NL eng J - Journal Article
Couedel, A. - Falconnier, G.N. - Adam, M. - Cardinael, R. - Boote, K. J. - Justes, E. - Smithj, W.N. - Whitbread, A.M. - Affholder, F. - Balkovic, J. - Basso, B. - Bhatia, A. - Chakrabarti, B. - Chikowo, R. - Christina, M. - Faye, B. - Ferchaud, F. - Folberth, C. - Akinseye, F.M. - Gaiser, T. - Galdos, M.V. - Gayler, S. - Gorooei, A. - Grant, B. - Guibert, H. - Hoogenboom, G. - Kamali, B. - Laub, M. - Maureira, F. - Mequanint, F. - Nendel, Claas - Porter, C.H. - Ripoche, D. - Ruane, A.C. - Rusinamhodzi, L. - Sharma, S. - Singh, U. - Six, J. - Srivastava, A. - Vanlauwe, B. - Versini, A. - Vianna, M. - Webber, H. - Weber, T. K. D. - Zhang, C. - Corbeels, M.
Long-term soil organic carbon and crop yield feedbacks differ between 16 soil-crop models in sub-Saharan Africa.
European Journal of Agronomy. Roč. 155, APR (2024), č. článku 127109. ISSN 1161-0301. E-ISSN 1873-7331
Institutional support: RVO:86652079
Keywords : dynamic simulation-model * fertility management * root-growth * tropical environments * maize production * nitrogen * matter * tillage * systems * impacts * Soil-crop simulation * Soil organic matter * Soil-crop feedback * Ensemble modelling * Model intercomparison * Long-term experiments
OECD category: Agriculture
Impact factor: 5.2, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S1161030124000303?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0352892 - 2.0577938 - 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 - 3.0577116 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
Košík, Václav - Karella, Tomáš - Flusser, Jan
CNN Ensemble Robust to Rotation Using Radon Transform.
Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023). Piscataway: IEEE, 2023, č. článku 10320086. 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
Institutional support: RVO:67985556
Keywords : CNN * rotation invariance * equivariance * Radon transform * network fusion * network ensemble
OECD category: Robotics and automatic control
http://library.utia.cas.cz/separaty/2023/ZOI/flusser-0577116.pdf
Permanent Link: https://hdl.handle.net/11104/0346499 - 4.0574033 - ÚVGZ 2024 RIV DE eng J - Journal Article
Wallach, D. - Palosuo, T. - Thorburn, P. - Mielenz, H. - Buis, S. - Hochman, Z. - Gourdain, E. - Andrianasolo, F. - Dumont, B. - Ferrise, R. - Gaiser, T. - Garcia, C. - Gayler, S. - Harrison, M. - Hiremath, S. - Horan, H. - Hoogenboom, G. - Jansson, P.-E. - Jing, Q. - Justes, E. - Kersebaum, Kurt Christian - Launay, M. - Lewan, E. - Liu, K. - Mequanint, F. - Moriondo, M. - Nendel, Claas … Total 40 authors
Proposal and extensive test of a calibration protocol for crop phenology models.
Agronomy for Sustainable Development. Roč. 43, č. 4 (2023), č. článku 46. ISSN 1774-0746. E-ISSN 1773-0155
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : crop model * prediction error * protocol * model ensemble * variability
OECD category: Plant sciences, botany
Impact factor: 7.3, year: 2022
Method of publishing: Open access
https://link.springer.com/article/10.1007/s13593-023-00900-0
Permanent Link: https://hdl.handle.net/11104/0344394File Download Size Commentary Version Access Wallach-2023-Proposal-and-extensive-test-of-a-ca (1).pdf 7 1 MB Publisher’s postprint open-access - 5.0573669 - SLÚ 2024 RIV SK slo J - Journal Article
Zelenková, Anna - Himič, P.
K počiatkom slovenského divadelníctva v dvadsiatych rokoch 20. storočia. Ján Borodáč a Štefan Krčméry.
[The Beginnings of Slovak Theatremaking in the 1920s. Ján Borodáč and Štefan Krčméry.]
Slovenské divadlo. Roč. 71, č. 2 (2023), s. 117-133. ISSN 0037-699X. E-ISSN 1336-8605
Grant - others:Agentúra na podporu výskumu a vývoja - APVV(SK) APVV-19-0244
Institutional support: RVO:68378017
Keywords : Borodáč, Ján * Krčméry, Štefan * the Drama Ensemble of the Slovak National Theatre in teh 1920s * Slovak theatremaking * Slovak onstage declamation
OECD category: Specific literatures
Method of publishing: Open access
https://doi.org/10.31577/sd-2023-0010
Permanent Link: https://hdl.handle.net/11104/0344067 - 6.0572279 - ÚI 2024 RIV GB eng J - Journal Article
Sherratt, K. - Gruson, H. - Grah, R. - Tuček, Vít - Šmíd, Martin - Zajíček, Milan … Total 129 authors
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations.
eLife. Roč. 12, April 2023 (2023), č. článku e81916. ISSN 2050-084X. E-ISSN 2050-084X
Institutional support: RVO:67985807 ; RVO:67985556
Keywords : modelling * forecast * COVID-19 * Europe * ensemble * prediction
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Statistics and probability (UTIA-B)
Impact factor: 7.7, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.7554/eLife.81916
Permanent Link: https://hdl.handle.net/11104/0343023File Download Size Commentary Version Access 0572279-aoa.pdf 5 2.1 MB OA CC0 1.0 Universal (CC0 1.0) Publisher’s postprint open-access
Research data: Github, Zenodo (European Covid-19 Forecast Hub), Zenodo (reichlab/covidHubUtils: repository release for Zenodo), Zenodo (reichlab/covid19-forecast-hub: release for Zenodo, 20210816) - 7.0567321 - ÚPT 2024 RIV US eng J - Journal Article
Rizzo, R. - Dziadosz, M. - Kyathanahally, S. P. - Shamaei, Amirmohammad - Kreis, R.
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias.
Magnetic Resonance in Medicine. Roč. 89, č. 5 (2023), s. 1707-1727. ISSN 0740-3194. E-ISSN 1522-2594
EU Projects: European Commission(XE) 813120 - INSPiRE-MED
Institutional support: RVO:68081731
Keywords : active learning * bias * deep learning * ensemble of networks * model fitting * magnetic resonance spectroscopy * quantification
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.3, year: 2022
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/10.1002/mrm.29561
Permanent Link: https://hdl.handle.net/11104/0338584File Download Size Commentary Version Access 2023_Rizzo_MRM.pdf 0 5.2 MB OA - CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/ Publisher’s postprint open-access Rizzo2023_ Quantification_MRM_EarlyAccess.pdf 3 5.2 MB Early access, OA CC BY-NC 4.0 Publisher’s postprint open-access - 8.0566887 - ÚVGZ 2023 RIV GB eng J - Journal Article
Guarin, J. R. - Martre, P. - Ewert, F. - Webber, H. - Dueri, S. - Calderini, D. - Reynolds, M. - Molero, G. - Miralles, D. - Garcia, G. - Slafer, G. - Giunta, F. - Pequeno, D. N. L. - Stella, T. - Ahmed, M. - Alderman, P. D. - Basso, B. - Berger, A. G. - Bindi, M. - Bracho-Mujica, G. - Cammarano, D. - Chen, Y. - Dumont, B. - Rezaei, E. E. - Fereres, E. - Ferrise, R. - Gaiser, T. - Gao, Y. - Garcia-Vila, M. - Gayler, S. - Kersebaum, Kurt Christian - Nendel, Claas … Total 59 authors
Evidence for increasing global wheat yield potential.
Environmental Research Letters. Roč. 17, č. 12 (2022), č. článku 124045. ISSN 1748-9326. E-ISSN 1748-9326
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : yield increase * radiation use efficiency * wheat potential yield * crop model ensemble * global food security
OECD category: Meteorology and atmospheric sciences
Impact factor: 6.7, year: 2022
Method of publishing: Open access
https://iopscience.iop.org/article/10.1088/1748-9326/aca77c
Permanent Link: https://hdl.handle.net/11104/0338157File Download Size Commentary Version Access Guarin_2022_Environ._Res._Lett._17_124045.pdf 4 1.6 MB Publisher’s postprint open-access - 9.0566489 - ÚVGZ 2023 RIV GB eng J - Journal Article
Mahnken, M. - Cailleret, M. - Collalti, A. - Trotta, C. - Biondo, C. - D'Andrea, E. - Dalmonech, D. - Marano, G. - Mäkelä, A. - Minunno, F. - Peltoniemi, M. - Trotsiuk, V. - Nadal-Sala, D. - Sabater, S. - Vallet, P. - Aussenac, R. - Cameron, D. R. - Bohn, F. J. - Grote, R. - Augustynczik, A. L. D. - Yousefpour, R. - Huber, N. - Bugmann, H. - Merganičová, K. - Merganič, J. - Valent, P. - Lasch-Born, P. - Hartig, F. - del Valle, I.V. - Volkholz, J. - Krejza, Jan … Total 39 authors
Accuracy, realism and general applicability of European forest models.
Global Change Biology. Roč. 28, č. 23 (2022), s. 6921-6943. ISSN 1354-1013. E-ISSN 1365-2486
EU Projects: European Commission(XE) 690462 - ERA4CS
Institutional support: RVO:86652079
Keywords : eddy-covariance * gap model * model ensemble * model evaluation * process-based modeling * terrestrial carbon dynamics
OECD category: Plant sciences, botany
Impact factor: 11.6, year: 2022
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/10.1111/gcb.16384
Permanent Link: https://hdl.handle.net/11104/0337805File Download Size Commentary Version Access Mahnken-2022-Accuracy-realism-and-general-applic.pdf 1 1.9 MB Publisher’s postprint open-access - 10.0561389 - ÚVGZ 2023 RIV GB eng J - Journal Article
Dueri, S. - Brown, H. - Asseng, S. - Ewert, F. - Webber, H. - George, M. - Craigie, R. - Guarin, J. R. - Pequeno, D. N. L. - Stella, T. - Ahmed, M. - Alderman, P. D. - Basso, B. - Berger, A. G. - Mujica, G. B. - Cammarano, D. - Chen, Y. - Dumont, B. - Rezaei, E. E. - Fereres, E. - Ferrise, R. - Gaiser, T. - Gao, Y. - Garcia-Vila, M. - Gayler, S. - Hochman, Z. - Hoogenboom, G. - Kersebaum, Kurt Christian - Nendel, Claas - Olesen, Jorgen Eivind … Total 53 authors
Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment.
Journal of Experimental Botany. Roč. 73, č. 16 (2022), s. 5715-5729. ISSN 0022-0957. E-ISSN 1460-2431
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : Multi-model ensemble * sowing date * sowing density * tillering * tiller mortality * wheat * yield potential
OECD category: Plant sciences, botany
Impact factor: 6.9, year: 2022
Method of publishing: Open access
https://academic.oup.com/jxb/advance-article/doi/10.1093/jxb/erac221/6612782?login=true
Permanent Link: https://hdl.handle.net/11104/0334029