Search results
- 1.0572383 - 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/11104/0345414File Download Size Commentary Version Access Saegerman_2023_Viruses.pdf 0 701.1 KB Publisher’s postprint open-access - 2.0565932 - ÚT 2023 CZ eng A - Abstract
Kluková, Zuzana - Nosek, Štěpán - Jaňour, Zbyněk
Evaluation of differences between DMD and OPD in detection of coherent structures.
International Workshop on Physical Modeling of Flow and Dispersion Phenomena - Book of Abstracts. Prague: Institute of Thermomechanics of the Czech Academy of Sciences, 2022 - (Jurčáková, K.; Kellnerová, R.). s. 110-110. ISBN 978-80-87012-81-9.
[PHYSMOD 2022 - The International Workshop on Physical Modelling of Flow and Dispersion Phenomena. 29.08.2022-31.08.2022, Praha]
Institutional support: RVO:61388998
Keywords : coherent structures * dynamic mode decomposition * oscillating pattern decomposition * sensitivity analysis
OECD category: Meteorology and atmospheric sciences
Permanent Link: https://hdl.handle.net/11104/0337691 - 3.0558441 - ÚVGZ 2023 RIV NL eng J - Journal Article
Wang, E. - He, D. - Wang, J. - Lilley, J. - Christy, B. - Hoffmann, M. - O'Leary, G. - Hatfield, J. - Ledda, L. - Deligios, P. - Grant, B. - Jing, Q. - Nendel, Claas - Kage, H. - Qian, B. - Rezaei, E. - Smith, W. - Weymann, W. - Ewert, F.
How reliable are current crop models for simulating growth and seed yield of canola across global sites and under future climate change?
Climatic Change. Roč. 172, č. 1-2 (2022), č. článku 20. ISSN 0165-0009. E-ISSN 1573-1480
Institutional support: RVO:86652079
Keywords : air co2 enrichment * brassica-napus * uncertainty * temperature * phenology * rapeseed * productivity * performance * ensembles * impacts * AgMIP * Brassica napus L. * Model calibration * Model improvement * Multimodel ensemble * Sensitivity analysis
OECD category: Meteorology and atmospheric sciences
Impact factor: 4.8, year: 2022
Method of publishing: Open access
https://link.springer.com/article/10.1007/s10584-022-03375-2
Permanent Link: http://hdl.handle.net/11104/0332107 - 4.0557268 - ÚVGZ 2023 RIV GB eng J - Journal Article
Kamali, B. - Stella, T. - Berg-Mohnicke, M. - Pickert, J. - Groh, J. - Nendel, Claas
Improving the simulation of permanent grasslands across Germany by using multi-objective uncertainty-based calibration of plant-water dynamics.
European Journal of Agronomy. Roč. 134, MAR (2022), č. článku 126464. ISSN 1161-0301. E-ISSN 1873-7331
Institutional support: RVO:86652079
Keywords : global sensitivity-analysis * parameter sensitivity * carbon sequestration * nitrogen dynamics * climate-change * growth-models * crop growth * optimization * impact * monica * Intensively managed grasslands * Extensively managed grasslands * Grassland productivity * Pareto optimality
OECD category: Agriculture
Impact factor: 5.2, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1161030122000120
Permanent Link: http://hdl.handle.net/11104/0331288 - 5.0556517 - BC 2023 RIV CH eng J - Journal Article
Wade, A.J. - Skeffington, R.A. - Couture, R.M. - Erlandsson Lampa, M. - Groot, S. - Halliday, S.J. - Harezlak, V. - Hejzlar, Josef - Jackson-Blake, L.A. - Lepistö, A. - Papastergiadou, E. - Riera, J.L. - Rankinen, K. - Shahgedanova, M. - Trolle, D. - Whitehead, P.G. - Psaltopoulos, D. - Skuras, D.
Land use change to reduce freshwater nitrogen and phosphorus will be effective even with projected climate change.
Water. Roč. 14, č. 5 (2022), č. článku 829. E-ISSN 2073-4441
Institutional support: RVO:60077344
Keywords : river thames * phytoplankton dynamics * sensitivity-analysis * model structure * inca-p * lake * calibration * catchments * impacts * water quality * eutrophication * Europe * Turkey * nitrogen * phosphorus * chlorophyll
OECD category: Water resources
Impact factor: 3.4, year: 2022
Method of publishing: Open access
https://doi.org/10.3390/w14050829
Permanent Link: https://hdl.handle.net/11104/0340296 - 6.0548681 - ÚFM 2022 RIV CH eng J - Journal Article
Khalaj, O. - Ghobadi, M. - Saebnoori, E. - Zarezadeh, A. - Shishesaz, M. - Mašek, B. - Stadler, C. - Svoboda, Jiří
Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys.
Materials. Roč. 14, č. 21 (2021), č. článku 6713. E-ISSN 1996-1944
R&D Projects: GA ČR GX21-02203X
Institutional support: RVO:68081723
Keywords : artificial neural-networks * mechanical-properties * sensitivity-analysis * compressive strength * new-generation * grain-growth * ods steel * regression * prediction * microstructure * Oxide Precipitation-Hardened (OPH) alloys * tensile test * toughness * artificial neural network (ANN) * particle swarm optimization * anfis * Fe-Al-O
OECD category: Thermodynamics
Impact factor: 3.748, year: 2021
Method of publishing: Open access
https://www.mdpi.com/1996-1944/14/21/6713
Permanent Link: http://hdl.handle.net/11104/0324865 - 7.0547638 - ÚTIA 2022 RIV NL eng J - Journal Article
Kukačka, Jiří - Krištoufek, Ladislav
Does parameterization affect the complexity of agent-based models?
Journal of Economic Behavior & Organization. Roč. 192, č. 1 (2021), s. 324-356. ISSN 0167-2681. E-ISSN 1879-1751
R&D Projects: GA ČR(CZ) GJ17-12386Y
Institutional support: RVO:67985556
Keywords : financial agent-based models * parameterization * complex systems * multifractal sensitivity analysis
OECD category: Economic Theory
Impact factor: 2.000, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/E/kukacka-0547638.pdf https://www.sciencedirect.com/science/article/pii/S0167268121004339
Permanent Link: http://hdl.handle.net/11104/0323840 - 8.0543693 - ÚGN 2022 RIV NL eng J - Journal Article
Haslinger, Jaroslav - Blaheta, Radim - Mäkinen, R. A. E.
Parameter identification for heterogeneous materials by optimal control approach with flux cost functionals.
Mathematics and Computers in Simulation. Roč. 189, November 2021 (2021), s. 55-68. ISSN 0378-4754. E-ISSN 1872-7166
R&D Projects: GA ČR(CZ) GA19-11441S
EU Projects: European Commission(XE) 847593 - EURAD
Institutional support: RVO:68145535
Keywords : identification of conductivity coefficients * optimal control of PDEs * sensitivity analysis
OECD category: Applied mathematics
Impact factor: 3.601, year: 2021
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0378475420302111
Permanent Link: http://hdl.handle.net/11104/0320872File Download Size Commentary Version Access UGN_0543693.pdf 0 683.1 KB Other require UGN_0543693_2.pdf 3 2.8 MB Author’s postprint open-access - 9.0537091 - ÚI 2022 RIV GB eng J - Journal Article
Lyu, C. - Capps, S. L. - Kurashima, K. - Henze, D. K. - Pierce, G. - Hakami, A. - Zhao, S. - Resler, Jaroslav - Carmichael, G. R. - Sandu, A. - Russel, A. - Chai, T. - Milford, J.
Evaluating Oil and Gas Contributions to Ambient Nonmethane Hydrocarbon Mixing Ratios and Ozone-related Metrics in the Colorado Front Range.
Atmospheric Environment. Roč. 246, February 2021 (2021), č. článku 118113. ISSN 1352-2310. E-ISSN 1873-2844
Institutional support: RVO:67985807
Keywords : Oil and natural gas * Nonmethane hydrocarbon * Ground-level ozone * Premature mortality * Source apportionment * Adjoint sensitivity analysis
OECD category: Meteorology and atmospheric sciences
Impact factor: 5.755, year: 2021
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0314838File Download Size Commentary Version Access 0537091-aoa.pdf 1 2.2 MB OA CC BY-NC-ND Publisher’s postprint open-access - 10.0535263 - ÚT 2021 RIV CZ eng C - Conference Paper (international conference)
Fuis, Vladimír
Sensitivity Analysis of the Material Parameters Obtained from the Measurements.
PROCEEDINGS OF THE 2018 18TH INTERNATIONAL CONFERENCE ON MECHATRONICS - MECHATRONIKA (ME). Brno: Institute of Electrical and Electronics Engineers Inc., 2018 - (Maga, D.; Stefek, A.; Brezina, T.), s. 505-510, č. článku 8624693. ISBN 978-80-214-5544-3.
[International Conference on Mechatronics - Mechatronika (ME) /18./. Brno (CZ), 05.12.2018-07.12.2018]
Institutional support: RVO:61388998
Keywords : material parameters * measurement * principal stress * sensor – strain gauge * sensitivity analysis * Weibull's weakest link theory
OECD category: Mechanical engineering
Permanent Link: http://hdl.handle.net/11104/0315825