Search Results - "Vaitkus, Pranas"

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  1. 1

    Biosensor response to multi-component mixtures statistical analysis and forecasting by Baronas, Romas, Būda, Sigitas, Ivanauskas, Feliksas, Vaitkus, Pranas

    Published in Lietuvos matematikos rinkinys (21-09-2023)
    “…This paper deals with an analysis of the electrochemical biosensors and their response to multi-component mixtures. The main task is to build a mathematical…”
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    Journal Article
  2. 2

    Julius Kruopis: Pioneer of the applications of mathematical statistics in Lithuania by Bagdonavičius, Vilijandas, Čekanavičius, Vydas, Levulienė, Rūta, Vaitkus, Pranas

    Published in Lithuanian mathematical journal (01-07-2024)
    “…The paper reviews the scientific and pedagogical activities of Julius Kruopis, the pioneer of Lithuanian applied statistics. His contribution to statistics and…”
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    Journal Article
  3. 3

    Investigation of deep learning models on identification of minimum signal length for precise classification of conveyor rubber belt loads by Žvirblis, Tadas, Petkevičius, Linas, Bzinkowski, Damian, Vaitkus, Dominykas, Vaitkus, Pranas, Rucki, Mirosław, Kilikevičius, Artūras

    Published in Advances in mechanical engineering (01-06-2022)
    “…In this paper, long short-term memory (LSTM) and Transformer neural network models were developed for classification of different conveyor belt conditions…”
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    Journal Article
  4. 4

    Greenhouse gases emissions and economic growth – evidence substantiating the presence of environmental Kuznets curve in the EU by Giedrė Lapinskienė, Manuela Tvaronavičienė, Pranas Vaitkus

    “…The paper considers the relationship between greenhouse gas emissions (GHG) as the main variable of climate change and gross domestic product (GDP), using the…”
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    Journal Article
  5. 5
  6. 6

    Nonlinear models for recognition of concentration of mixture by Ivanauskas, Feliksas, Paulauskas, Robertas, Vaitkus, Pranas

    Published in Lietuvos matematikos rinkinys (15-06-2021)
    “…In this paper extreme learning machine and support vector regression are used for biosensors response to mixtures of compounds classification. The results are…”
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    Journal Article
  7. 7

    Radial basis function method modelling borehole heat transfer: the practical application by Indriulionis, Audrius, Vaitkus, Pranas

    Published in Lietuvos matematikos rinkinys (15-12-2016)
    “…In this work, the method of radial basis function (RBF) is used for the borehole heat exchanger transfers (BHET) problems. The RBF method is an efficient mesh…”
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    Journal Article
  8. 8

    Prediction of composite indicators using locally weighted quantile regression by Rukšenaitė, Jurga, Vaitkus, Pranas, Asijavičius, Povilas

    Published in Nonlinear analysis (Vilnius, Lithuania) (01-01-2018)
    “…The main goal of this paper is to improve the existing methods and tools used for solving penalized quantile regression problems. We modified the quantile…”
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    Journal Article
  9. 9

    Hilbert–Schmidt component analysis by Daniušis, Povilas, Vaitkus, Pranas, Petkevičius, Linas

    Published in Lietuvos matematikos rinkinys (15-12-2016)
    “…We propose a feature extraction algorithm, based on the Hilbert–Schmidt independence criterion (HSIC) and the maximum dependence – minimum redundancy approach…”
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    Journal Article
  10. 10

    Prediction of a composite indicators using combined method of extreme learning machine and locally weighted regression by Jurga Rukšėnaitė, Pranas Vaitkus

    Published in Nonlinear analysis (Vilnius, Lithuania) (21-05-2012)
    “…In this paper, a method of artificial neural networks (NN) is proposed as an alternative tool for the one-step-ahead prediction of composite indicators (CIs)…”
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    Journal Article
  11. 11

    Asymptotic expansions for distribution of sums quasi-lattice random variables by Bikelis, Algimantas, Padvelskis, Kazimieras, Vaitkus, Pranas

    Published in Lietuvos matematikos rinkinys (15-12-2011)
    “…Althoug Chebyshev [3] and Edeworth [5] had conceived of the formal expansions for distribution of sums of independent random variables, but only in Cramer’s…”
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    Journal Article
  12. 12

    Kernel regression on matrix patterns by Povilas Daniušis, Pranas Vaitkus

    Published in Lietuvos matematikos rinkinys (21-12-2008)
    “…In this paper we propose a kernel-based regression model for matrix patterns (KRMP). The training algorithm is derived. The proposed model was empirically…”
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    Journal Article
  13. 13

    Julius Kruopis – the pioneer of applied statistics in Lithuania by Vilijandas Bagdonavičius, Vydas Čekanavičius, Rūta Levulienė, Pranas Vaitkus

    Published in Lithuanian Journal of Statistics (01-12-2023)
    “…Julius Kruopis was born on 21.02.1941 in Utena district. In 1963 he graduated from Vilnius University,  Faculty of Physics and Mathematics. In 1964–1966 he…”
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    Journal Article
  14. 14

    The classification of concentration of mixture of analytes using total principal component regression by Romas Baronas, Feliksas Ivanauskas, Robertas Paulauskas, Pranas Vaitkus

    Published in Lietuvos matematikos rinkinys (18-12-2005)
    “…In this paper total principal component regression is used for biosensors response to mixtures of compounds classification. The results are compared with the…”
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    Journal Article
  15. 15

    The classification of concentration of mixture of analytes by Romas Baronas, Feliksas Ivanauskas, Romualdas Maslovskis, Pranas Vaitkus

    Published in Lietuvos matematikos rinkinys (17-12-2004)
    “…This paper presents a system which is used for the classification of biosensor signals. The proposed system is applied to the the synthesized and experimental…”
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    Journal Article
  16. 16

    Analysis of the Validity of Environmental Kuznets Curve for the Baltic States by Lapinskienė, Giedrė, Tvaronavičienė, Manuela, Vaitkus, Pranas

    Published in Environmental and Climate Technologies (01-12-2013)
    “…The paper analyses a traditional Environmental Kuznets Curve (EKC) relationship between greenhouse gases (GHG) and gross domestic product (GDP), extending the…”
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    Journal Article
  17. 17

    Investigation of Deep Neural Networks for Hypoid Gear Signal Classification to Identify Anomalies by Zvirblis, Tadas, Petkevicius, Linas, Vaitkus, Pranas, Sabanovic, Eldar, Skrickij, Viktor, Kilikevicius, Arturas

    “…A breakthrough of deep learning methods as automated feature extraction techniques for fault further evaluation and classification has blossomed in recent…”
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    Conference Proceeding
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