Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Joanna Świebocka-Więk"'
Autor:
Jacek Dajda, Michał Idzik, Jakub Sroka, Mikołaj Sikora, Wiktor Pawłowski, Maciej Smołka, Przemysław Jabłecki, Filip Ślazyk, Maciej Malawski, Emilia Majerz, Aleksandra Pasternak, Witold Dzwinel, Wojciech Kania, Bogumiła Hnatkowska, Wojciech Thomas, Joanna Świebocka-Więk, Andrzej Paszkiewicz
Publikováno v:
Computing and Informatics
COMPUTING AND INFORMATICS; Vol. 40 No. 4 (2021): Computing and Informatics; 930–956
COMPUTING AND INFORMATICS; Vol. 40 No. 4 (2021): Computing and Informatics; 930–956
This article presents short analysis and observations on current trends and directions in conducting engineering theses in the field of computer science. This report is based on collected bachelor theses in AGH Computer Science Department for academi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ab3b28eaa7ef6968bd613690f35c3a
https://doi.org/10.31577/cai_2021_4_930
https://doi.org/10.31577/cai_2021_4_930
Autor:
Joanna Świebocka-Więk
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319489438
Methods for automatic gender recognition based on voice allow the person identification only by analysis of this person speech recording. Human speech, beyond verbal communication, gives many information about the speaking person, such as identificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651ff867ef9adeb2eaf1142a60f862af
https://doi.org/10.1007/978-3-319-48944-5_8
https://doi.org/10.1007/978-3-319-48944-5_8
Autor:
H. Figiel, Joanna Świebocka-Więk
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319065922
This paper presents a curvelet-based approach on the image denoising in magnetic resonance imaging (MRI). The method is worth of examination, because it has not been tested so far in case of MRI. The results show how the Digital Curvelet Transform me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e658ceaa9bd00a66199bc08799c61c
https://doi.org/10.1007/978-3-319-06593-9_15
https://doi.org/10.1007/978-3-319-06593-9_15