Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Lenka Pavelková"'
Publikováno v:
Acta Universitatis Carolinae Geographica, Vol 55, Iss 1, Pp 27-37 (2020)
The paper aims to analyse the attitudes towards immigration among Czech youth and their changes on two distinct surveys of young Czechs (aged 14–19) held in 2011 and 2016, the years before and after a period of a greatly increased inflow of migrant
Externí odkaz:
https://doaj.org/article/f1d2cd3ba764490da4e5bb098bc1d96c
Autor:
Lenka Pavelková
Publikováno v:
Gender a Výzkum, Vol 20, Iss 1, Pp 154-159 (2019)
Review of book Bahna, M., Sekulová, M.: Crossborder Care
Externí odkaz:
https://doaj.org/article/537b5dff13b547c99713c8c6c5d9b307
Autor:
Dušan Drbohlav, Adrian J. Bailey, Zdeněk Čermák, Dita Čermáková, Dorin Lozovanu, Eliška Masná, Lenka Pavelková, Markéta Seidlová, Robert Stojanov, Ondřej Valenta, Francesco Vietti
Publikováno v:
Acta Universitatis Carolinae Geographica, Vol 52, Iss 2, Pp 237-248 (2017)
This contribution advances knowledge of contemporary Moldovan migration and is the first comparative description of the situation of Moldovans in Czechia and Italy. Our specific objective is to review evidence about how the concept of the migration-d
Externí odkaz:
https://doaj.org/article/5c2b749931c547789a9720970e0485e9
Publikováno v:
Acta Universitatis Carolinae Geographica, Vol 55, Iss 1, Pp 27-37 (2020)
The paper aims to analyse the attitudes towards immigration among Czech youth and their changes on two distinct surveys of young Czechs (aged 14–19) held in 2011 and 2016, the years before and after a period of a greatly increased inflow of migrant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4c18c8e32403f6693ade596e137e3bd
https://doi.org/10.14712/23361980.2020.5
https://doi.org/10.14712/23361980.2020.5
Autor:
Kvetoslav Belda, Lenka Pavelková
Publikováno v:
ICINCO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d92104385fbe319e2407a1d561f16b
https://doi.org/10.5220/0010557700002994
https://doi.org/10.5220/0010557700002994
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783030631925
We investigate sensor network nodes that sequentially infer states with bounded values, and affected by noise that is also bounded. The transfer of knowledge between such nodes is the principal focus of this chapter. A fully Bayesian framework is ado
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f1b5aeda9026ff503c44b80e246ce21
https://doi.org/10.1007/978-3-030-63193-2_9
https://doi.org/10.1007/978-3-030-63193-2_9
Autor:
Lenka Pavelková, Kvetoslav Belda
Publikováno v:
CoDIT
The paper deals with an output-feedback model predictive control (MPC) for discrete-time systems influenced by bounded disturbances. The proposed MPC combines a state-space design and a state estimation. The state estimates are obtained by a specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2672cd69457a42ca0c7e2d319dfb5685
https://doi.org/10.1109/codit49905.2020.9263867
https://doi.org/10.1109/codit49905.2020.9263867
Autor:
Ladislav Jirsa, Lenka Pavelková
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 31:1184-1192
Summary This paper proposes a recursive algorithm for the estimation of a stochastic autoregressive model with an external input. The noise of the involved model is described by a uniform distribution. The model parameters are estimated using the Bay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d37c464d12eacb952fa9b812fd9b51
https://doi.org/10.1002/acs.2756
https://doi.org/10.1002/acs.2756
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783030319922
ICINCO (Selected Papers)
ICINCO (Selected Papers)
This paper proposes a one-step-ahead Bayesian output predictor for the linear stochastic state space model with uniformly distributed state and output noises. A model with discrete-time inputs, outputs and states is considered. The model matrices and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa49c1039c5b7c8c71cb669ddb0069f
https://doi.org/10.1007/978-3-030-31993-9_27
https://doi.org/10.1007/978-3-030-31993-9_27
Publikováno v:
ICINCO (1)
The paper presents an optimal Bayesian transfer learning technique applied to a pair of linear state-space processes driven by uniform state and observation noise processes. Contrary to conventional geometric approaches to boundedness in filtering pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8a1d4b923cc52b62c346deb4d6b5d2
https://doi.org/10.5220/0007854104990506
https://doi.org/10.5220/0007854104990506