Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Michiels, sam"'
Autor:
López-Chilet, Álvaro, Liu, Zhaoyi, Gómez, Jon Ander, Alvarez, Carlos, Ortiz, Marivi Alonso, Mesa, Andres Orejuela, Newton, David, Wolf-Monheim, Friedrich, Michiels, Sam, Hughes, Danny
This paper proposes a method for Acoustic Constrained Segmentation (ACS) in audio recordings of vehicles driven through a production test track, delimiting the boundaries of surface types in the track. ACS is a variant of classical acoustic segmentat
Externí odkaz:
http://arxiv.org/abs/2402.18204
Autor:
Loupos, Konstantinos, Niavis, Harris, Michalopoulos, Fotis, Misiakoulis, George, Skarmeta, Antonio F., García, Jesús, Palomares, Angel, Song, Hui, Dautov, Rustem, Giampaolo, Francesca, Mancilla, Rosella, Costantino, Francesca, Van Landuyt, Dimitri, Michiels, Sam, More, Stefan, Xenakis, Christos, Bampatsikos, Michail, Politis, Ilias, Krilakis, Konstantinos, Syvridis, Dimitris
Externí odkaz:
https://hdl.handle.net/11250/3128092
Publikováno v:
Communications of the ACM; Apr2023, Vol. 66 Issue 4, p93-101, 9p, 5 Diagrams, 6 Graphs
Autor:
Adam, Shuaibu Musa, Goossens, Lowie, Panafidin, Fedor, Mackenzie, Brendan J., Yinze Li, Michiels, Sam, Hughes, Danny, Ka Lok Man
Publikováno v:
International Journal of Design, Analysis & Tools for Integrated Circuits & Systems; Feb2024, Vol. 13 Issue 1, p23-28, 6p
ispartof: pages:259-263 ispartof: 2022 30th European Signal Processing Conference (EUSIPCO) pages:259-263 ispartof: European Signal Processing Conference (EUSIPCO) location:Belgrade, Serbia date:29 Aug - 2 Sep 2022 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::ae93179f846f8d7a00b993d3f34de57f
https://lirias.kuleuven.be/handle/20.500.12942/701161
https://lirias.kuleuven.be/handle/20.500.12942/701161
Publikováno v:
In Ad Hoc Networks February 2015 25 Part A:141-169
Autor:
Geebelen, Dries, Geebelen, Kristof, Truyen, Eddy, Michiels, Sam, Suykens, Johan A.K., Vandewalle, Joos, Joosen, Wouter
Publikováno v:
In Information Sciences 1 June 2014 268:397-424
Publikováno v:
International Journal of Design, Analysis & Tools for Integrated Circuits & Systems; Nov2022, Vol. 11 Issue 1, p6-11, 6p
Autor:
Puri, chetanya, Dolui, Koustabh, Kooijman, Gerben, Masculo, Felipe, Van Sambeek, Shannon, Den Boer, Sebastiaan, Michiels, sam, Hallez, hans, Luca, stijn, Vanrumste, Bart
Early gestational weight gain prediction can help expecting women overcome several associated risks. However, training the model requires access to centrally stored privacy sensitive weight and other meta-data. In this demo, we present a privacy pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::90fecf1631929d50975da63007e6991b
https://lirias.kuleuven.be/handle/123456789/664549
https://lirias.kuleuven.be/handle/123456789/664549
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.