Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aurora L. R. Martins"'
Autor:
Michal Javorka, Luca Faes, Ana Paula Rocha, Aurora L. R. Martins, Riccardo Pernice, Celestino Amado, Maria Eduarda Silva
Publikováno v:
2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
Cardiovascular variability is the result of the activity of several physiological control mechanisms, which involve different variables and operate across multiple time scales encompassing short term dynamics and long range correlations. This study p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c821d4755700ef93ccce59692d654c32
https://doi.org/10.1109/esgco49734.2020.9158136
https://doi.org/10.1109/esgco49734.2020.9158136
Autor:
Ana Paula Rocha, Michal Javorka, Celestino Amado, Aurora L. R. Martins, Riccardo Pernice, Maria Eduarda Silva, Luca Faes
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Entropy
Volume 22
Issue 3
Entropy, Vol 22, Iss 3, p 315 (2020)
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Entropy
Volume 22
Issue 3
Entropy, Vol 22, Iss 3, p 315 (2020)
Assessing the dynamical complexity of biological time series represents an important topic with potential applications ranging from the characterization of physiological states and pathological conditions to the calculation of diagnostic parameters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15a22457eb921f8e3212d69ee012ae24
https://hdl.handle.net/10216/126737
https://hdl.handle.net/10216/126737
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783030313319
IbPRIA (1)
IbPRIA (1)
The analysis of the intern anatomy of wood samples for species identification is a complex task that only experts can perform accurately. Since there are not many experts in the world and their training can last decades, there is great interest in de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a48657e9dea476dffdc93b195af818c
https://doi.org/10.1007/978-3-030-31332-6_23
https://doi.org/10.1007/978-3-030-31332-6_23