Masarykova univerzita

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Filtrování publikací

    2014

    1. HOUŠKA, Jan, Eladia María PEÑA-MÉNDEZ, Juan Ramón HERNANDEZ-FERNAUD, Eduardo SALIDO, Aleš HAMPL, Josef HAVEL a Petr VAŇHARA. Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1. Journal of Applied Biomedicine. České Budějovice: Faculty of Health and Social Care, University of South Bohemia, 2014, roč. 12, č. 2, s. 119-125. ISSN 1214-021X. Dostupné z: https://dx.doi.org/10.1016/j.jab.2013.12.001.

    2012

    1. PEÑA MÉNDEZ, Eladia Maria, Marcos BÁEZ, Josef HAVEL a Jaromír VAŇHARA. Aplicaciones de Redes Neuronales (ANN) en Ciencia. 4th Edition, Erasmus Program. Spain: Universidad de La Laguna, Tenerife, Spain, 2012, 62 s. TF-850/2012.
    2. VAŇHARA, Jaromír, Milada BOCÁKOVÁ, Peter FEDOR, Kristýna JANIŠOVÁ, Eladia Maria PEŇA MÉNDEZ, Natália MURÁRIKOVÁ a Josef HAVEL. Artificial Neural Networks Identification: mayor step towards integrative taxonomy. In Integrative biology: From ecology to molecules. 2012.

    2011

    1. MURÁRIKOVÁ, Natália, Jaromír VAŇHARA, Andrea TÓTHOVÁ a Josef HAVEL. Polyphasic approach applying artificial neural networks, molecular analysis and postabdomen morphology to West Palaearctic Tachina spp. (Diptera, Tachinidae). Bulletin of Entomological Research, doi:10.1017/S0007485310000295. Cambridge, England: CAMBRIDGE UNIV PRESS, 2011, roč. 101, č. 1, s. 165-175. ISSN 0007-4853.

    2010

    1. HAVEL, Josef, Jaromír VAŇHARA, Eladia PEÑA-MÉNDEZ a Marcos BÁEZ. Aplicaciones de Redes Neuronales en Ciencia. 2. vyd. La Laguna, Tenerife: University of La Lagauna, 2010, 68 s.
    2. VAŇHARA, Jaromír, Josef HAVEL a Peter FEDOR. Artificial Neural Networks (ANN) in entomology. The Tachinid Times. Ottawa: Agriculture & Agri-Food Canada, 2010, roč. 23 (2010), č. 1, s. 9-13. ISSN 1802-128X.

    2009

    1. KRUZLICOVA, Dasa, Jan MOCÁK, Branko BALLA, Jan PETKA, Marta FARKOVÁ a Josef HAVEL. Classification of Slovak white wines using artificial neural networks and discriminant techniques. Food Chemistry. 2008 Elsevier Ltd, 2009, roč. 112, č. 4, 7 s. ISSN 0308-8146.

    2008

    1. VAŇHARA, Jaromír, Peter FEDOR, Igor MALENOVSKÝ, Natália MURÁRIKOVÁ a Josef HAVEL. Insect identification using Artificial Neural Networks (ANN). In Proceedings CD incl. Abstracts and Author´s List ICE 2008. 2008.

    2007

    1. LUBAL, Přemysl a Marta FARKOVÁ. Application of artificial neural networks in speciation analysis. In Utilizing of Bio-Electrochemical and Mathematical Methods in Biological Research. Kerala: Research Signpost, 2007, s. 35-49. BIOLOGICAL SCIENCES 37/661 (2). ISBN 81-308-0163-9.
    2. VAŇHARA, Jaromír, Natália MURÁRIKOVÁ, Igor MALENOVSKÝ a Josef HAVEL. Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae). Biologia. Bratislava: Versita, 2007, roč. 62, č. 4, s. 462—469. ISSN 1335-6372.
    3. VAŇHARA, Jaromír, Natália MURÁRIKOVÁ, Igor MALENOVSKÝ a Josef HAVEL. Artificial neural networks for insect identification. The Tachinid Times. Ottawa: Agriculture Canada, 2007, roč. 20, č. 4, s. 8-9. ISSN 1802-128X.
    4. HAVEL, Josef, Vilma BURŠÍKOVÁ a Jan JANČA. Plasma deposition of doped Diamond-like carbon nano layers. Process modeling and prediction using Artificial Neural Networks. In Nanotechnologia analitica. Cordoba, Spain: Universidad de Cordoba, 2007, s. 111-112.

    2006

    1. TRNKOVÁ, Libuše, Jana TOPINKOVÁ, Eladia Maria PENA-MÉNDEZ a Josef HAVEL. Spectrophotometric analysis of nucleic acid bases in binary and ternary mixtures by partial least squares and artificial neural networks. In 3rd International Symposium on Computer Applications and Chemometrics in Analytical Chemistry SCAC 2006. Veszprém: University of Veszprém, 2006, s. 7-7. ISBN 963-9696-01-3.

    2005

    1. PAZOUREK, Jiří, Dagmar GAJDOŠOVÁ, Miroslava SPANILÁ, Marta FARKOVÁ, Klára NOVOTNÁ a Josef HAVEL. Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network. Journal of Chromatography A. Elsevier B.V., 2005, roč. 1081, č. 1, s. 48-54. ISSN 0021-9673.
    2. HAVLIŠ, Jan, Klára NOVOTNÁ a Josef HAVEL. Optimization of high performance liquid chromatography separation of neuroprotective peptides. Fractional experimental design combined with Artificial neural networks. Journal of Chromatography A. Elsevier B.V., 2005, roč. 1096, 1-2, s. 50-57. ISSN 0021-9673.
    3. SPANILÁ, Miroslava, Jiří PAZOUREK, Marta FARKOVÁ a Josef HAVEL. Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines. J. Chromatogr. A. Amsterdam (The Netherlands): Elsevier Science, 2005, roč. 1084, č. 1, s. 180-185. ISSN 0021-9606.
    4. HOLBOVÁ, Michaela a Přemysl LUBAL. SIMULTÁNNÍ SPECIAČNÍ SPEKTROFOTOMETRICKÁ ANALÝZA IONTŮ Fe2+ A Fe3+. CHEMICKÉ LISTY. Praha: Česká společnost chemická, 2005, roč. 99, č. 3, s. 200-205. ISSN 0009-2770.

    2004

    1. FARKOVÁ, Marta, Přemysl LUBAL a Josef HAVEL. Prediction of equilibrium constants in aqueous solution. I. The extrapolation of equilibrium constants to zero ionic strength using PLS, artificial neural networks, and genetic "soft" modelling. Chemical Papers. Bratislava: Slovak Academic Press, 2004, roč. 58, č. 5, s. 299-305. ISSN 0366-6352.

    2002

    1. LUBAL, Přemysl, Josef HAVEL a Marta FARKOVÁ. ANN Prediction of Equilibrium Constants in Aqueous Solutions. In Book of Abstracts of International Chemometric Conference CHEMOMETRICS VI. Brno: Masaryk University Press, 2002, s. P15, 1 s. ISBN 80-210-2918-8.
    2. LUBAL, Přemysl, Josef HAVEL a Marta FARKOVÁ. ANN Prediction of Migration Behaviour of Metal Complexes in Capillary Zone Electrophoresis. In Book of Abstracts of International Chemometric Conference Chemometrics VI. Brno: Masaryk University Press, 2002, s. P14, 1 s. ISBN 80-210-2918-8.
    3. MALOVANÁ, Sabina, Borges FRIAS GARCIA a Josef HAVEL. Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons. ELECTROPHORESIS. WEINHEIM: WILEY-V C H VERLAG GMBH, 2002, roč. 23, č. 12, s. 1815-1821. ISSN 0173-0835.
    4. BOCAZ-BENEVENTI, Gaston, Rosa LATORRE, Marta FARKOVÁ a Josef HAVEL. Artificial neural networks for quantification in unresolved capillary electrophoresis peaks. Analytica Chimica Acta. Amsterdam: Elsevier Science Publishers, 2002, roč. 452, č. 1, s. 47-63. ISSN 0003-2670.
    5. HAVEL, Josef a Marta FARKOVÁ. CAPILLARY ELECTROPHORESIS CHIRAL SEPARATION MODELLING WITH THE USE OF ARTIFICIAL NEURAL NETWORKS. In CHIRANAL 2002. 1. vyd. Olomouc: ALGA PRESS, 2002, s. 65. ISBN 80-86238-24-5.
    6. BOCAZ BENEVENTI, Gaston Guiller, F. TAGLIARO, F. BORTOLOTTI, G. MANETTO a Josef HAVEL. Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour. International journal of legal medicine. Germany: Springer, 2002, roč. 116, č. 1, s. 5-10. ISSN 0937-9827.
    7. POLÁŠKOVÁ, Pavla, Gaston Guillermo BOCAZ BENEVENTI, Hua LI a Josef HAVEL. Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis. JOURNAL OF CHROMATOGRAPHY A. AMSTERDAM: ELSEVIER SCIENCE BV, 2002, roč. 979, 1-2, s. 59-67, 8Increase. ISSN 0021-9673.
    8. HAVEL, Josef, Přemysl LUBAL a Marta FARKOVÁ. Evaluation of chemical equilibria with the use of artificial neural networks. POLYHEDRON. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2002, roč. 21, 14-15, s. 1375-1384. ISSN 0277-5387.
    9. HAVEL, Josef, Přemysl LUBAL a Marta FARKOVÁ. Evaluation of Chemical Equilibrium Data with the Use of Artificial Neural Networks. Polyhedron. Velká Británie: Elsevier Science Ltd., 2002, roč. 21, 14-15, s. 1375-1384. ISSN 0277-5387.
    10. MUZIKÁŘ, Martin, Marta FARKOVÁ a Josef HAVEL. SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS. In CHEMOMETRICS VI. I. Brno: Masaryk University Press, 2002, s. P17, 1 s. ISBN 80-210-2918-8.
    11. FARKOVÁ, Marta a Josef HAVEL. Umělé neuronové sítě (ANN) v chemii. Kvantitativní analýza z nerozlišených píků v kapilární elektroforéze s použitím vícerozměrné kalibrace kombinací plánování pokusů a ANN. In Program přednášek 17. Chemometrického dne. 1. vyd. Brno: Masarykova univerzita v Brně, 2002, s. 8.
    12. FARKOVÁ, Marta a Josef HAVEL. UMĚLÉ NEURONOVÉ SÍTĚ V ANALYTICKÉ CHEMII. Chemické listy. Praha: Česká společnost chemická, 2002, roč. 96, č. 6, s. 464-465. ISSN 0009-2770.
    13. TOPINKOVÁ, Jana, Libuše TRNKOVÁ a Josef HAVEL. Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures. In Chemické listy. Praha: Česká společnost chemická, 2002, s. 482. ISBN 0009-2770.

    2001

    1. KRIŠTOF, Martin. Possibilities of the Implementation of Neural Networks in Small and Medium Firms. In Small and Medium Firm Management with Computer Support. Brno: Vysoké učení technické, Fakulta podnikatelská, 2001, s. 56-58. ISBN 80-86510-11-5.
    2. CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures. JOURNAL OF ELECTROANALYTICAL CHEMISTRY. Lausanne: ELSEVIER SCIENCE SA, LAUSANNE, 2001, roč. 2001, č. 503, s. 117-124. ISSN 0022-0728.
    3. CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution. J.Electroanal.Chem. The Netherlands: Elsevier, 2001, roč. 2002, 1-2, s. 117-124. ISSN 0022-0728.

    1999

    1. CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry. In Chemometrics V. I. Brno, Czech Republic: Masaryk University, Brno, 1999, s. 6. Brno Section of the Chemical Society.

    1998

    1. ZIZKA, Jan a Zdenek KRATOCHVIL. An Application of RBF-Based ANN to Extraction of Rules. In Proc. of The International ICSC/IFAC Symposium on Neural Computation NC'98. Canada: ICSC Canada, 1998, s. 558-564. ISBN 3-906454-14-2.
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