0410847 - UTIA-B 20020061 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Haindl, Michal
Recursive model-based colour image restoration.
Berlin: Springer, 2002. Lecture Notes in Computer Science., 2396. ISBN 3-540-44011-9. In: Structural, Syntactic, and Statistical Pattern Recognition. Proceedings. - (Caelli, T.; Amin, A.; Duin, R.), s. 617-626
[Joint IAPR International Workshops SSPR 2002 and SPR 2002. Windsor (CA), 06.08.2002-09.08.2002]
Grant CEP: GA ČR GA106/00/1715; GA ČR GA102/00/0030
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: random fields * image restoration
Kód oboru RIV: BD - Teorie informace
Trvalý link: http://hdl.handle.net/11104/0130934

0560360 - ÚFM 2023 RIV CH eng J - Journal Article
Balog, M. - Krizik, P. - Dvořák, Jiří - Bajana, O. - Krajcovic, J. - Drienovský, M.
Industrially fabricated in-situ Al-AlN metal matrix composites (part B): The mechanical, creep, and thermal properties.
Journal of Alloys and Compounds. Roč. 909, JUL (2022), č. článku 164720. ISSN 0925-8388. E-ISSN 1873-4669
Institutional support: RVO:68081723
Keywords : Aluminum (Al) * Aluminum nitride (AlN) * Extrusion * In-situ * Metal matrix composites (MMC) * Powder metallurgy (PM)
OECD category: Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics
Impact factor: 6.2, year: 2022 ; AIS: 0.738, rok: 2022
Method of publishing: Limited access
Result website:
https://www.sciencedirect.com/science/article/pii/S0925838822011112?via%3DihubDOI: https://doi.org/10.1016/j.jallcom.2022.164720
Permanent Link: https://hdl.handle.net/11104/0334000