Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thiago Schons"'
Autor:
Mariana R.F. Mota, Pedro H.L. Silva, Eduardo J.S. Luz, Gladston J.P. Moreira, Thiago Schons, Lauro A.G. Moraes, David Menotti
Publikováno v:
PeerJ Computer Science, Vol 7, p e549 (2021)
Due to the application of vital signs in expert systems, new approaches have emerged, and vital signals have been gaining space in biometrics. One of these signals is the electroencephalogram (EEG). The motor task in which a subject is doing, or even
Externí odkaz:
https://doaj.org/article/6640b4af4d1e4a24b83b4ca2963a8e1d
Autor:
Lauro Moraes, David Menotti, Gladston Moreira, Pedro Silva, Eduardo Luz, Thiago Schons, Mariana R. F. Mota
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e549 (2021)
PeerJ Computer Science, Vol 7, p e549 (2021)
Due to the application of vital signs in expert systems, new approaches have emerged, and vital signals have been gaining space in biometrics. One of these signals is the electroencephalogram (EEG). The motor task in which a subject is doing, or even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de91c1027a73a51691f34724e50a7324
http://europepmc.org/articles/PMC8157223
http://europepmc.org/articles/PMC8157223
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
The global expansion of biometric systems promotes the emergence of new and more robust biometric modalities. In that context, electroencephalogram (EEG) based biometric interest has been growing in recent years. In this study, a novel approach for E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5625dd74e14d1b91859ed3b257b60c55
https://doi.org/10.1007/978-3-319-75193-1_72
https://doi.org/10.1007/978-3-319-75193-1_72
Autor:
Alexandre G. Evsukoff, Carolina Ribeiro Xavier, Thiago Schons, Vinícius da Fonseca Vieira, Nelson F. F. Ebecken
Publikováno v:
Computational Science and Its Applications – ICCSA 2016 ISBN: 9783319420912
ICCSA (5)
ICCSA (5)
Spreading have been studied in networks from a wide range of contexts, such as social, biological and technological. Models for spreading simulation can be applied to real world networks in order to investigate how spreading phenomena occurs from dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934a542e40c5d4bd6881eec5649303a9
https://doi.org/10.1007/978-3-319-42092-9_26
https://doi.org/10.1007/978-3-319-42092-9_26