Search results
- 1.0558163 - ÚI 2023 RIV CH eng M - Monography Chapter
Figueroa–García, J. C. - Franco, C. - Neruda, Roman
An Optimization Model for Location-Allocation of Health Services Under Uncertainty.
Computational Intelligence Methodologies Applied to Sustainable Development Goals. Cham: Springer, 2022 - (Verdegay, J.; Brito, J.; Cruz, C.), s. 97-108. Studies in Computational Intelligence, 1036. ISBN 978-3-030-97344-5
Institutional support: RVO:67985807
Keywords : Fuzzy optimization * Healthcare location-allocation * Health services
Permanent Link: http://hdl.handle.net/11104/0331954
- 2.0558088 - ÚTAM 2023 RIV GB eng J - Journal Article
Huang, H. - Xue, C. - Zhang, Wei - Guo, M. X.
Torsion design of CFRP-CFST columns using a data-driven optimization approach.
Engineering Structures. Roč. 251, January (2022), č. článku 113479. ISSN 0141-0296. E-ISSN 1873-7323
Institutional support: RVO:68378297
Keywords : CFST columns * combined loads * multi-objective optimization * overfitting * SHAP values * transfer learning
OECD category: Civil engineering
Impact factor: 4.471, year: 2020
Method of publishing: Limited access
https://doi.org/10.1016/j.engstruct.2021.113479
Permanent Link: http://hdl.handle.net/11104/0331888
- 3.0557942 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Pitra, Z. - Hanuš, M. - Koza, J. - Tumpach, Jiří - Holeňa, Martin
Interaction between Model and its Evolution Control in Surrogate-assisted CMA Evolution Strategy.
Proceedings Of The 2021 Genetic And Evolutionary Computation Conference (Gecco'21). New York: Association for Computing Machinery, 2021 - (Chicano, F.), s. 528-536. ISBN 978-1-4503-8350-9.
[Gecco 2021: Genetic and Evolutionary Computation Conference. Lille / Online (FR), 10.07.2021-14.07.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others: Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * evolution control * CMA-ES
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://dx.doi.org/10.1145/3449639.3459358
Permanent Link: http://hdl.handle.net/11104/0331826
- 4.0557390 - ÚJF 2023 RIV DE eng J - Journal Article
Exner, Pavel - Lotoreichik, Vladimir
Spectral optimization for Robin Laplacian on domains admitting parallel coordinates.
Mathematische Nachrichten. Roč. 295, č. 6 (2022), s. 1163-1173. ISSN 0025-584X. E-ISSN 1522-2616
R&D Projects: GA ČR GA17-01706S
Institutional support: RVO:61389005
Keywords : curved strip * eigenvalue optimization * exterior of a convex set * min-max principle * parallel coordinates * Robin Laplacian * second eigenvalue
OECD category: Pure mathematics
Impact factor: 1.228, year: 2020
Method of publishing: Limited access
https://doi.org/10.1002/mana.202000013
Permanent Link: http://hdl.handle.net/11104/0331989
- 5.0557268 - 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: 5.124, year: 2020
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1161030122000120
Permanent Link: http://hdl.handle.net/11104/0331288
- 6.0556903 - ÚFM 2023 RIV US eng J - Journal Article
Khalaj, O. - Jamshidi, M. - Saebnoori, E. - Mašek, B. - Stadler, C. - Svoboda, Jiří
Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel.
IEEE Access. Roč. 9, neuvedeno (2021), s. 156930-156946. ISSN 2169-3536. E-ISSN 2169-3536
R&D Projects: GA ČR GX21-02203X
Institutional support: RVO:68081723
Keywords : new-generation * grain-growth * ods * microstructure * nanoparticles * hydride * single * alloys * model * Metals * Artificial intelligence * Steel * Data models * Analytical models * Predictive models * Powders * Oxide precipitation hardened (OPH) steels * tensile strength * artificial neural network (ANN) * particle swarm optimization * anfis * Fe-Al-O * machine learning * computational mechanics
OECD category: Materials engineering
Impact factor: 3.367, year: 2020
Method of publishing: Open access
https://ieeexplore.ieee.org/document/9620029
Permanent Link: http://hdl.handle.net/11104/0331020
- 7.0556423 - ÚT 2022 RIV CZ cze V - Research Report
Kopačka, Ján - Ježek, Ondřej - Gabriel, Dušan - Šotola, Martin - Rybanský, David - Maršálek, Pavel - Halama, R. - Tejc, J. - Pašek, M. - Kovář, L.
Rešerše metod následného zpracování výsledků topologické optimalizace.
[Review of methods for the post-processing of topological optimization results.]
Praha: Ústav termomechaniky AV ČR, v. v. i., 2021. 25 s. Z-1640/21.
R&D Projects: GA TA ČR(CZ) TN01000024
Institutional support: RVO:61388998
Keywords : post-processing * topological optimization * MBB test problem
OECD category: Applied mechanics
Permanent Link: http://hdl.handle.net/11104/0330656
- 8.0556204 - ÚT 2023 RIV CH eng J - Journal Article
Lee, S. - Yu, K. - Huh, H. - Kolman, Radek - Arnoult, Xavier
Dynamic Hardening of AISI 304 Steel at a Wide Range of Strain Rates and Its Application to Shot Peening Simulation.
Metals. Roč. 12, č. 3 (2022), č. článku 403. E-ISSN 2075-4701
Institutional support: RVO:61388998
Keywords : AISI 304 steel * dynamic hardening * strain rate * Taylor impact test * inverse optimization
OECD category: 2.2 Electrical engineering, Electronic engineering, Information engineering
Impact factor: 2.351, year: 2020
Method of publishing: Open access
https://www.mdpi.com/2075-4701/12/3/403
Permanent Link: http://hdl.handle.net/11104/0331231
- 9.0555998 - MBÚ 2023 RIV CH eng J - Journal Article
Kiss, M. - Timari, I. - Barna, T. - Mészáros, Zuzana - Slámová, Kristýna - Bojarová, Pavla - Křen, Vladimír - Hayes, J. - Somsák, L.
2-Acetamido-2-deoxy-d-glucono-1,5-lactone Sulfonylhydrazones: Synthesis and Evaluation as Inhibitors of Human OGA and HexB Enzymes.
International Journal of Molecular Sciences. Roč. 23, č. 3 (2022), č. článku 1037. E-ISSN 1422-0067
R&D Projects: GA ČR(CZ) GF21-01948L
Institutional support: RVO:61388971
Keywords : molecular-orbital methods * o-glcnac * glycosylidene carbenes * force-field * protein * substrate * link * hOGA * hHexB * inhibitor * glyconolactone sulfonylhydrazone * Prime refinement * qm * MM optimization
OECD category: Biochemistry and molecular biology
Impact factor: 5.923, year: 2020
Method of publishing: Open access
https://www.mdpi.com/1422-0067/23/3/1037
Permanent Link: http://hdl.handle.net/11104/0330366
- 10.0555604 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Růžička, J. - Koza, J. - Tumpach, J. - Pitra, Z. - Holeňa, Martin
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
IAL@ECML PKDD 2021: Workshop on Interactive Adaptive Learning. Proceedings. Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Krempl, G.; Lemaire, V.; Kottke, D.; Holzinger, A.; Hammer, B.), s. 105-120. CEUR Workshop Proceedings, 3079. ISSN 1613-0073.
[IAL 2021: Workshop on Interactive Adaptive Learning /5./. Bilbao / virtual (ES), 13.09.2021-13.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others: Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : active learning * black-box optimization * artificial neural networks * Gaussian processes * covariance functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-3079/ial2021_paper9.pdf
Permanent Link: http://hdl.handle.net/11104/0330068
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