Výsledky vyhledávání
- 1.0474139 - ÚGN 2018 RIV CZ eng M - Část monografie knihy
Janeček, Ivan - Kalus, R. - Stachoň, M.
Comprehensive Modelling Long Time Evolution of Suddenly Ionised Rare Gas Clusters
Through Multiscale Model and Full Dynamics Calculations.
Supercomputing in science and engineering. 1. Ostrava: IT4Innovations National Supercomputing Center, 2017 - (Pešatová, K.; Poláková, B.; Cawley, J.), s. 218-220. ISBN 978-80-248-4037-6
Grant ostatní: Ga MŠk(CZ) LM2015070
Institucionální podpora: RVO:68145535
Klíčová slova: clusters * chemical physics * ionization * molecular dynamics * hemiquantal dynamics
Obor OECD: Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
http://www.it4i.cz/wp-content/uploads/2017/04/Supercomputing-in-Science-and-Engineering-reduce-preview.pdf
Trvalý link: http://hdl.handle.net/11104/0271249 - 2.0420882 - ÚI 2015 RIV RU rus M - Část monografie knihy
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
Atraktornaja nejronnaja set tipa Hopfilda v kačestve metoda Bulevskogo faktornogo analiza i nekotoryje ego socialnyje primenenija.
[Attractor Neural Network of Hopfield Type as the Method of Boolean Factor Analysis and Some of its Social Use.]
Neurocomputing Paradigm and Society. Moscow: Moscov University Press, 2012 - (Petrunin, Y.), s. 62-102. ISBN 978-5-211-06375-4
Grant CEP: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: artificial intelligence * neural networks * neurocomputing paradigma * methodology of social sciences * policy analysis * forecasting political processes * public administration * e-culture * business ethics * sociobiology * econometric models * neuroeconomics * fuzzy logic
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0227343 - 3.0382473 - ÚI 2014 RIV HR eng M - Část monografie knihy
Frolov, A. - Húsek, Dušan - Bobrov, P. - Mokienko, O. - Tintěra, J.
Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery.
Brain-Computer Interface Systems - Recent Progress and Future Prospects. Rijeka: InTech, 2013 - (Fazel-Rezai, R.), s. 175-193. ISBN 978-953-51-1134-4
Grant CEP: GA ČR GAP202/10/0262
Grant ostatní: GA MŠk(CZ) ED1.1.00/02.0070
Program: ED
Institucionální podpora: RVO:67985807
Klíčová slova: brain computer interface * BCI * EEG * fMRI * signal separation * inverse EEG task
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0212683