Search results
- 1.0585427 - ÚI 2025 DE eng J - Journal Article
Dropka, N. - Böttcher, K. - Chappa, G. K. - Holeňa, Martin
Data-Driven Cz–Si Scale-Up under Conditions of Partial Similarity.
Crystal Research and Technology. Online 09 April 2024 (2024). ISSN 0232-1300. E-ISSN 1521-4079
Institutional support: RVO:67985807
Keywords : artificial neural networks * Cz–Si growth * data-driven scale up * partial similarity * Voronkov criteria
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.5, year: 2022
Method of publishing: Open access
https://doi.org/10.1002/crat.202300342
Permanent Link: https://hdl.handle.net/11104/0353135File Download Size Commentary Version Access 0585427-oaonl.pdf 0 5.5 MB OA CC BY 4.0 Publisher’s postprint open-access - 2.0584615 - ÚČL 2024 CZ cze N - Newspaper Article
Piorecký, Karel
K Allado-McDowell. Mezi umělou inteligencí, spiritualitou a subverzí.
Tvar. Roč. 34, č. 18 (2023), s. 11. ISSN 0862-657X
Grant - others:AV ČR(CZ) Akademická prémie - Praemium Academiae
Institutional support: RVO:68378068
Keywords : K Allado-McDowell * artificial neural networks * assisted creativity
OECD category: Specific literatures
Permanent Link: https://hdl.handle.net/11104/0352496 - 3.0584614 - ÚČL 2024 CZ cze N - Newspaper Article
Piorecký, Karel
Digitální prozaici a asistenti vyprávění.
Tvar. Roč. 34, č. 18 (2023), s. 12-13. ISSN 0862-657X
Grant - others:AV ČR(CZ) Akademická prémie - Praemium Academiae
Institutional support: RVO:68378068
Keywords : prose * artificial neural networks * verancularization
OECD category: Specific literatures
https://itvar.cz/digitalni-prozaici-a-asistenti-vypraveni
Permanent Link: https://hdl.handle.net/11104/0352495 - 4.0580741 - ÚČL 2024 RIV SK eng J - Journal Article
Husárová, Z. - Piorecký, Karel
Technological imagination as a source of the culture of neural networks.
Ars Aeterna. Roč. 15, č. 2 (2023), s. 1-21. ISSN 1337-9291. E-ISSN 2450-8497
Grant - others:AV ČR(CZ) Akademická prémie - Praemium Academiae
Research Infrastructure: CLB III - 90243
Institutional support: RVO:68378068
Keywords : artificial neural networks * culture * technological imagination
OECD category: Literary theory
Method of publishing: Open access
https://sciendo.com/article/10.2478/aa-2023-0007
Permanent Link: https://hdl.handle.net/11104/0349504 - 5.0579626 - ÚT 2024 IT eng A - Abstract
Kovárnová, A. - Isoz, Martin
Model order reduction for Eulerian-Lagrangian direct numerical simulation of particle-laden flows.
18th OpenFOAM Workshop. Itálie, 2023 - (Guerrero, J.; Pralits, J.)
[OpenFOAM Workshop /18./. 11.07.2023-14.07.2023, Genoa]
R&D Projects: GA TA ČR(CZ) TM04000048
Institutional support: RVO:61388998
Keywords : model order reduction * artificial neural networks * shifted POD * CFD-DEM * OpenFOAM
OECD category: Applied mathematics
https://figshare.com/articles/book/18th_OpenFOAM_Workshop_2023_Book_of_unedited_abstracts/24081426
Permanent Link: https://hdl.handle.net/11104/0350008 - 6.0576081 - ÚI 2025 DE eng J - Journal Article
Dropka, N. - Holeňa, Martin - Thieme, C. - Chou, T.-S.
Development of the VGF Crystal Growth Recipe: Intelligent Solutions of Ill-Posed Inverse Problems using Images and Numerical Data.
Crystal Research and Technology. Online first 23 August 2023 (2024). ISSN 0232-1300. E-ISSN 1521-4079
Institutional support: RVO:67985807
Keywords : artificial neural networks * image data * inverse problems * Kriging * numerical data * reduced order modelling * VGF growth
Impact factor: 1.5, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1002/crat.202300125
Permanent Link: https://hdl.handle.net/11104/0345705File Download Size Commentary Version Access 0576081-aonloa.pdf 0 1.8 MB OA CC BY 4.0 Publisher’s postprint open-access - 7.0573854 - ÚT 2024 CZ eng C - Conference Paper (international conference)
Kovárnová, A. - Isoz, Martin
Model order reduction for particle-laden flows: systems with rotations and discrete transport operators.
Topical Problems of Fluid Mechanics 2023. Praha: Ústav termomechaniky AV ČR, v. v. i., 2023 - (Šimurda, D.; Bodnár, T.), s. 96-103. ISBN 978-80-87012-83-3. ISSN 2336-5781.
[Topical Problems of Fluid Mechanics 2023. Prague (CZ), 22.02.2023-24.02.2023]
R&D Projects: GA TA ČR(CZ) TM04000048
Institutional support: RVO:61388998
Keywords : model order reduction * shifted POD * artificial neural networks * CFD-DEM * Open- FOAM
OECD category: Applied mechanics
http://www2.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2023/14-TPFM2023.pdf
Permanent Link: https://hdl.handle.net/11104/0349998 - 8.0569202 - ÚČL 2023 CZ cze N - Newspaper Article
Piorecký, Karel
Umělé nedokonalosti.
[Artificial imperfection.]
Host. roč. 38, č. 10 (2022), s. 36-39. ISSN 1211-9938
Institutional support: RVO:68378068
Keywords : poetry * artificial neural networks * synthetic media
OECD category: Specific literatures
Method of publishing: Open access with time embargo
Permanent Link: https://hdl.handle.net/11104/0340577 - 9.0563077 - ÚČL 2023 RIV SK cze J - Journal Article
Piorecký, Karel - Husárová, Z.
Na hranicích umění, kreativity a mýtu. K problematice prezentačních strategií syntetických textových médií.
[On the boundaries of arts, creativity, and myth. Notes on the strategies of presentation of synthetic textual media.]
Slovenská literatúra. Roč. 69, č. 5 (2022), s. 499-514. ISSN 0037-6973
Grant - others:AV ČR(CZ) Akademická prémie - Praemium Academiae
Research Infrastructure: CLB II - 90136
Institutional support: RVO:68378068
Keywords : synthetic textual medium * artificial neural networks * literature of neural networks * synthetic art * myth of artificial intelligence
OECD category: Literary theory
Impact factor: 0.1, year: 2022
Method of publishing: Open access
https://www.sav.sk/journals/uploads/10050915SL_5-22-5-PIORECKY%20HUSAROVA.pdf
Permanent Link: https://hdl.handle.net/11104/0335192File Download Size Commentary Version Access SAV PIORECKY HUSAROVA.pdf 2 382 KB Publisher’s postprint open-access - 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/11104/0330068File Download Size Commentary Version Access 0555604-afoa.pdf 1 2.4 MB OA CC BY 4.0 Publisher’s postprint open-access