Masarykova univerzita

Výpis publikací

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Filtrování publikací

    2023

    1. VALIŠ, David, Jiří HLINKA, Jan KOLÁČEK, Petr PROCHÁZKA, Ondřej POKORA, Radoslav CIPÍN a Rostislav KOŠTIAL. Comprehensive Study on Reliability, Deterioration, and Ageing of Lithium-Ion Batteries in Electric-Powered Aircraft Assessed after a Storage Period Using Functional Data Analysis and Non-Parametric Back up. Engineering Failure Analysis. Elsevier Ltd, 2023, roč. 154, December 2023, s. 1-27. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2023.107661.
    2. PŘIBYL, Jan, Radka OBOŘILOVÁ, Jakub HRUŠKA, Lucie VÁLKOVÁ, Jan KOLÁČEK, Ondřej POKORA, Jan SLOVÁK a Monika PÁVKOVÁ GOLDBERGOVÁ. Destructive nanoindentation techniques to study biological membranes. Online. In Proceedings 15th International Conference on Nanomaterials - Research & Application. Ostrava: TANGER Ltd., 2023, s. 347-352. ISBN 978-80-88365-15-0. Dostupné z: https://dx.doi.org/10.37904/nanocon.2023.4764.

    2019

    1. KOLÁČEK, Jan, Ondřej POKORA, Daniela KURUCZOVÁ a Tzai-Wen CHIU. Benefits of functional PCA in the analysis of single-trial auditory evoked potentials. Computational Statistics. Germany: Springer, 2019, roč. 34, č. 2, s. 617-629. ISSN 0943-4062. Dostupné z: https://dx.doi.org/10.1007/s00180-018-0819-6.
    2. VALIŠ, David, Ondřej POKORA a Jan KOLÁČEK. System failure estimation based on field data and semi-parametric modeling. Engineering Failure Analysis. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2019, roč. 101, JUL 2019, s. 473-484. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2019.04.014.

    2018

    1. TÓTH, Peter Gabriel, Petr MARŠÁLEK a Ondřej POKORA. Ergodicity and parameter estimates in auditory neural circuits. Biological Cybernetics. Springer, 2018, roč. 112, 1-2, s. 41-55. ISSN 0340-1200. Dostupné z: https://dx.doi.org/10.1007/s00422-017-0739-5.
    2. VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system. Tribology International. 2018, roč. 118, February, s. 46-59. ISSN 0301-679X. Dostupné z: https://dx.doi.org/10.1016/j.triboint.2017.09.017.

    2017

    1. POKORA, Ondřej, Jan KOLÁČEK, Tzai-Wen CHIU a Wei QIU. Functional data analysis of single-trial auditory evoked potentials recorded in the awake rat. BioSystems. Oxford: ELSEVIER SCI LTD, 2017, roč. 161, November, s. 67-75. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2017.09.002.

    2016

    1. VALIŠ, David, Libor ŽÁK, Ondřej POKORA a Petr LÁNSKÝ. Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance. Reliability engineering & system safety. ELSEVIER SCI LTD, 2016, roč. 145, january, s. 231-242. ISSN 0951-8320. Dostupné z: https://dx.doi.org/10.1016/j.ress.2015.07.026.
    2. VALIŠ, David, Libor ŽÁK a Ondřej POKORA. System Condition Estimation Based on Selected Tribodiagnostic Data. Quality and Reliability Engineering International. WILEY-BLACKWELL, 2016, roč. 32, č. 2, s. 635-645. ISSN 0748-8017. Dostupné z: https://dx.doi.org/10.1002/qre.1778.

    2015

    1. WAN, Ilynn, Ondřej POKORA, Tzaiwen CHIU, Petr LÁNSKÝ a Paul Waifung POON. Altered intensity coding in the salicylate-overdose animal model of tinnitus. BioSystems. ELSEVIER SCI LTD, 2015, roč. 136, october, s. 113-119. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2015.06.010.
    2. VALIŠ, David a Ondřej POKORA. Application of selected diffusion processes on system state assessment. In Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Wroclaw: CRC Press/Balkema, 2015, s. 911-916. ISBN 978-1-138-02681-0.
    3. VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Contribution to system failure occurrence prediction and to system remaining useful life estimation based on oil field data. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. London: SAGE Publications Ltd, 2015, roč. 229, č. 1, s. 36-45. ISSN 1748-006X. Dostupné z: https://dx.doi.org/10.1177/1748006X14547789.
    4. VALIŠ, David a Ondřej POKORA. Estimation of system residual useful life based on selected tribo data. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on. Selangor: IEEE Computer Society, 2015, s. 1171-1175. ISBN 978-1-4799-6410-9. Dostupné z: https://dx.doi.org/10.1109/IEEM.2014.7058823.
    5. VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD, 2015, roč. 56, october, s. 501-511. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020.
    6. LÁNSKÝ, Petr a Ondřej POKORA. Matematické modely v biologii. Online. In Holčík Jiří, Komenda Martin. Matematická biologie: e-learningová učebnice. 1. vyd. Brno, 2015. ISBN 978-80-210-8095-9.
    7. PILARSKI, Stevan a Ondřej POKORA. On the Cramér-Rao bound applicability and the role of Fisher information in computational neuroscience. BioSystems. ELSEVIER SCI LTD, 2015, roč. 136, october, s. 11-22. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2015.07.009.
    8. LÁNSKÝ, Petr a Ondřej POKORA. Vybrané kapitoly z matematického modelování. Online. In Holčík Jiří, Komenda Martin. Matematická biologie: e-learningová učebnice. 1. vyd. Brno, 2015. ISBN 978-80-210-8095-9.

    2014

    1. VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Engine residual technical life estimation based on tribo data. Eksploatacja i Niezawodnosc – Maintenance and Reliability. 2014, roč. 16, č. 2, s. 203-210. ISSN 1507-2711.
    2. VALIŠ, David a Ondřej POKORA. Estimation of residual life based on vehicle tribo data. In IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok: IEEE Computer Society, 2014, s. 1427-1431. ISBN 978-1-4799-0986-5. Dostupné z: https://dx.doi.org/10.1109/IEEM.2013.6962646.

    2013

    1. POKORA, Ondřej. Hazard rate functions driven by finite-state and continuous-state stochastic processes. In Tomáš Pavlík, Ondřej Májek. Proceedings of the 9th Summer School on Computational Biology: Stochastic Modelling in Epidemiology. Brno: Masarykova univerzita, 2013, s. 57-66. ISBN 978-80-210-6305-1.
    2. KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. Measures of statistical dispersion based on Shannon and Fisher information concepts. INFORMATION SCIENCES. NEW YORK, NY 10010-1710 USA: ELSEVIER SCIENCE INC, 2013, roč. 235, JUN 20 2013, s. 214-223. ISSN 0020-0255. Dostupné z: https://dx.doi.org/10.1016/j.ins.2013.02.023.

    2012

    1. POKORA, Ondřej a Petr LÁNSKÝ. Estimating individual firing frequencies in a multiple spike train record. Journal of Neuroscience Methods. 2012, roč. 211, č. 2, s. 191-202. ISSN 0165-0270. Dostupné z: https://dx.doi.org/10.1016/j.jneumeth.2012.09.010.
    2. KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. How regular is neuronal activity. In ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2012, s. 495-500. ISBN 978-2-87419-049-0.
    3. KOŠTÁL, Lubomír a Ondřej POKORA. Nonparametric estimation of information-based measures of statistical dispersion. Entropy. 2012, roč. 14, č. 7, s. 1221–1233. ISSN 1099-4300. Dostupné z: https://dx.doi.org/10.3390/e14071221.

    2011

    1. KOŠŤÁL, Lubomír, Petr LÁNSKÝ a Ondřej POKORA. Variability measures of positive random variables. PloS ONE. 2011, roč. 6, č. 7, s. e21998, 11 s. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0021998.

    2010

    1. POKORA, Ondřej. Fisher information as the measure of signal optimality in olfactory neuronal neurons. In Acta Universitatis Matthiae Belii, Series mathematics, 16. Banska Bystrica, Slovakia: Matej Bel University, 2010, s. 53-63. ISBN 978-80-8083-955-0.
    2. POKORA, Ondřej. Stochastic modelling of signal transduction in olfactory neurons. In 6th Summer School on Computational Biology. Brno: AKADEMICKÉ NAKLADATELSTVÍ CERM, s.r.o., 2010, s. 100-115, 15 s. ISBN 978-80-7204-698-0.

    2009

    1. POKORA, Ondřej a Petr LÁNSKÝ. Optimal Odor Intenisty in Simple Olfactory Neuronal Models. In 17th International Conference of Forum for Interdisciplinary Mathematics on Interdisciplinary Mathematical and Statistical Techniques, Plzeň. 2009. ISBN 978-80-86843-26-1.
    2. POKORA, Ondřej a Petr LÁNSKÝ. Optimal odor intensity in olfactory neuronal models. In 18th Annual Computational Neuroscience Meeting CNS*2009. 2009. ISSN 1471-2202.
    3. POKORA, Ondřej a Petr LÁNSKÝ. Optimal odor intensity in simple olfactory neuronal models. In Joint Conference of the Czech and Slovak Neuroscience Societies. 2009.
    4. POKORA, Ondřej. Statistical approach in search for optimal signal in simple olfactory neuronal models. In 2nd INCF Congress of Neuroinformatics, Workshop on Sensory Neuroinformatics, Plzeň. 2009.

    2008

    1. POKORA, Ondřej a Petr LÁNSKÝ. Classification of input signals based on input-output curves. In 5th International Conference on Unsolved Problems on Noise and Fluctuations in Physics, Biology & Technology. 2008.
    2. LÁNSKÝ, Petr, Ondřej POKORA a Jean-Pierre ROSPARS. Classification of stimuli based on stimulus-response curves and their variability. Brain Research. Amsterdam: Elsevier, 2008, Volume 122, srpen 2008, s. 57-66. ISSN 0006-8993.
    3. POKORA, Ondřej a Petr LÁNSKÝ. Statistical approach in search for optimal signal in simple olfactory neuronal models. Mathematical Biosciences. Amsterdam: Elsevier, 2008, Volume 214, Issues 1-2, s. 100-108. ISSN 0025-5564.

    2007

    1. POKORA, Ondřej a Petr LÁNSKÝ. Optimal odor intensity in simple olfactory neuronal models. In Sixth conference of the Czech neuroscience society. 2007.
    2. POKORA, Ondřej a Petr LÁNSKÝ. Optimal odor intensity in simple olfactory neuronal models. In BIOCOMP 2007. 2007.
    3. POKORA, Ondřej a Petr LÁNSKÝ. Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons. In Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729. Berlin / Heidelberg: Springer, 2007, s. 360-367. ISBN 978-3-540-75554-8.
    4. LÁNSKÝ, Petr, Ondřej POKORA a Jean-Pierre ROSPARS. Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. In Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729. Berlin / Heidelberg: Springer, 2007, s. 338-349. ISBN 978-3-540-75554-8.

    2006

    1. POKORA, Ondřej a Petr LÁNSKÝ. Optimal signal in ligand-receptor models. In Prague Stochastics 2006. 2006.
    2. POKORA, Ondřej a Petr LÁNSKÝ. Optimal signal in ligand-receptor models. In Computational Neuroscience Meeting 2006. 2006.
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Zobrazeno: 27. 7. 2024 03:04