Search results
- 1.0585458 - MBÚ 2025 RIV DE eng J - Journal Article
Hyde, K. D. - Baldrian, Petr - Chen, Y. - Chethana, K. W. T. - de Hoog, S. - Doilom, M. - Gomes de Farias, A. R. - Goncalves, M. F. M. - Gonkhom, D. - Gui, H. - Hilario, S. - Hu, Y. - Jayawardena, R. S. - Khyaju, S. - Kirk, P. M. - Kohout, Petr - Luangharn, T. - Maharachchikumbura, S. S. N. - Manawasinghe, Ishara S. - Mortimer, P. E. - Niego, A. G. T. - Phonemany, M. - Sandargo, B. - Senanayake, I. C. - Stadler, M. - Surup, F. - Thongklang, N. - Wanasinghe, D. N. - Bahkali, A. H. - Walker, A.
Current trends, limitations and future research in the fungi?
Fungal Diversity. Roč. 125, č. 1 (2024), s. 1-71. ISSN 1560-2745. E-ISSN 1878-9129
R&D Projects: GA MŠMT(CZ) LUC23152
Institutional support: RVO:61388971
Keywords : arbuscular mycorrhizal fungi * silver nanoparticles * endophytic fungi * plant-pathogens * agaricus-bisporus * green synthesis * genome-scale * karnal-bunt * phylogenetic contributions * submerged fermentation * amf * Biocircular economy * Biocontrol * Data repositories * Drug discovery * Ecology * Emerging diseases * Functional genomics * Fungal classification * hts * Machine learning * Mycoremediation * Nanotechnology * Novel compounds * Phylogenomics * Plant pathology * Species numbers
OECD category: Microbiology
Impact factor: 20.3, year: 2022
Method of publishing: Open access
https://link.springer.com/article/10.1007/s13225-023-00532-5
Permanent Link: https://hdl.handle.net/11104/0353372 - 2.0585085 - ÚGN 2025 RIV GB eng J - Journal Article
Nag, A. - Gupta, M. - Ross, N. S. - Klichová, Dagmar - Petrů, J. - Krolczyk, G. M. - Hloch, S.
Real-time prediction and classification of erosion crater characteristics in pulsating water jet machining of different materials with machine learning models.
Archives of Civil and Mechanical Engineering. Roč. 24, č. 2 (2024), č. článku 97. ISSN 1644-9665. E-ISSN 2083-3318
R&D Projects: GA ČR(CZ) GA23-05372S
Institutional support: RVO:68145535
Keywords : droplet erosion * wear * machine learning * crater * prediction * pulsating water jet machining
OECD category: Mechanical engineering
Impact factor: 4.4, year: 2022
Method of publishing: Limited access
https://link.springer.com/article/10.1007/s43452-024-00908-7
Permanent Link: https://hdl.handle.net/11104/0352844File Download Size Commentary Version Access UGN_0585085.pdf 0 3.5 MB Other require - 3.0584910 - FZÚ 2025 RIV GB eng J - Journal Article
Stránský, O. - Tarant, Ivan - Beránek, L. - Holešovský, F. - Pathak, Sunil - Brajer, Jan - Mocek, Tomáš - Denk, Ondřej
Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening.
Surface Engineering. Roč. 40, č. 1 (2024), s. 66-72. ISSN 0267-0844. E-ISSN 1743-2944
Institutional support: RVO:68378271
Keywords : laser powder bed fusion * laser shock peening * porosity * residual stresses * aluminium * machine learning * optimisation
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 2.8, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0352720File Download Size Commentary Version Access 0584910.pdf 0 1.7 MB CC Licence Publisher’s postprint open-access - 4.0584178 - ÚFP 2024 RIV SK eng C - Conference Paper (international conference)
Abbasi, S. - Mlynář, J. - Chlum, J. - Svoboda, V. - Svoboda, Jakub - Ficker, Ondřej - Brotánková, J.
Machine-learning-based reconstruction of spatial distribution of plasma radiation using color visible cameras at golem tokamak.
21st Conference of Czech and Slovak Physicists. Košice: Slovak Physical Society, 2023, (2023), s. 59-60. ISBN 9788089855216.
[21st Conference of Czech and Slovak Physicists. Bratislava (SK), 04.09.2023-07.09.2023]
Institutional support: RVO:61389021
Keywords : tokamak * GOLEM * machine learning
OECD category: Fluids and plasma physics (including surface physics)
Permanent Link: https://hdl.handle.net/11104/0352161 - 5.0583939 - ÚI 2024 RIV CZ cze A - Abstract
Martinková, Patrícia
Data science pro analýzu přijímacích a maturitních testů.
[Data science for the analysis of admissions and maturita tests.]
Den otevřených dveří Ústavu informatiky AV ČR 2023 - program. Praha: Ústav informatiky AV ČR, 2023.
[Týden Akademie věd ČR. 06.11.2023-12.11.2023, Praha]
R&D Projects: GA TA ČR(CZ) TL05000008
Institutional support: RVO:67985807
Keywords : psychometrics * educational measurement * machine learning
OECD category: Education, general; including training, pedagogy, didactics [and education systems]
https://www.cs.cas.cz/news/2023-11-08-Den-otevrenych-dveri/en
Permanent Link: https://hdl.handle.net/11104/0351919 - 6.0583897 - GFÚ 2024 RIV NL eng J - Journal Article
Liu, H. - Harris, J. - Sherlock, R. - Behnia, P. - Grunsky, E. - Naghizadeh, M. - Rubingh, K. - Tuba, G. - Roots, E. A. - Hill, Graham J.
Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada.
Journal of Geochemical Exploration. Roč. 253, October (2023), č. článku 107279. ISSN 0375-6742. E-ISSN 1879-1689
Institutional support: RVO:67985530
Keywords : mineral prospectivity mapping (MPM) * machine learning * partial least-squares-discriminant analysis (PLS-DA) * Random Forest (RF) * Larder Lake area
OECD category: Geology
Impact factor: 3.9, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/abs/pii/S0375674223001267
Permanent Link: https://hdl.handle.net/11104/0351880File Download Size Commentary Version Access Liu2023JGeochemExploration.pdf 1 19.4 MB Publisher’s postprint require - 7.0582864 - ÚPT 2024 RIV US eng C - Conference Paper (international conference)
Koščová, Zuzana - Vargová, Enikö - Pavlus, Ján - Smíšek, Radovan - Viščor, Ivo - Bulková, V. - Plešinger, Filip
Predicting Readmission of Heart Failure Patients.
2023 Computing in Cardiology (CinC). New York: IEEE, 2023, (2023). ISBN 979-8-3503-8252-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2023 /50./. Atlanta (US), 01.10.2023-04.10.2023]
R&D Projects: GA TA ČR(CZ) FW06010766
Institutional support: RVO:68081731
Keywords : heart failure * readmission * machine learning
OECD category: Medical engineering
https://ieeexplore.ieee.org/document/10364202 https://www.cinc.org/archives/2023/pdf/CinC2023-207.pdf
Permanent Link: https://hdl.handle.net/11104/0351027 - 8.0582334 - ÚJF 2024 CZ eng D - Thesis
Mrázková, Jitka
Identification of c-jets in p+p and A+A collisions with machine learning.
Ústav jaderné fyziky AV ČR, v. v. i. Defended: Fakulta jaderná a fyzikálně inženýrská ČVUT v Praze. 05.06.2023. - Praha: České vysoké učení technické v Praze, 2023. 60 s.
Institutional support: RVO:61389005
Keywords : jet physics * charm quarks * quark-gluon plasma * machine learning
OECD category: Particles and field physics
http://hdl.handle.net/10467/108558
Permanent Link: https://hdl.handle.net/11104/0350445 - 9.0581659 - ÚTIA 2025 RIV NL eng J - Journal Article
Baruník, Jozef - Hanus, Luboš
Fan charts in era of big data and learning.
Finance Research Letters. Roč. 61, č. 1 (2024), č. článku 105003. ISSN 1544-6123. E-ISSN 1544-6131
R&D Projects: GA ČR(CZ) GX19-28231X
Institutional support: RVO:67985556
Keywords : Fan charts * Probabilistic forecasting * Machine learning
OECD category: Applied Economics, Econometrics
Impact factor: 10.4, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S1544612324000333?dgcid=author http://library.utia.cas.cz/separaty/2023/E/barunik-0581659.pdf
Permanent Link: https://hdl.handle.net/11104/0349774 - 10.0580447 - ÚI 2024 RIV BE eng A - Abstract
Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
Machine-learning prediction of test item difficulty using item text wordings: Comparison of algorithms’ and domain experts’ predictive performance.
The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 26-26.
[EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]
R&D Projects: GA ČR(CZ) GA21-03658S; GA TA ČR(CZ) TL05000008
Institutional support: RVO:67985807
Keywords : item difficulty * machine learning models * item text wording
OECD category: Education, general; including training, pedagogy, didactics [and education systems]
https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf
Permanent Link: https://hdl.handle.net/11104/0349220