Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Pranas Vaitkus"'
Publikováno v:
Lithuanian Journal of Statistics, Vol 62 (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 worked as a trainee lecturer at the Department of Probability Theory and Number Theory of the
Externí odkaz:
https://doaj.org/article/d8ae1a06566b429f8dd3adcb22050af2
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 46, Iss spec. (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 model for estimation the concentration of each mixture component from the biosensor response
Externí odkaz:
https://doaj.org/article/d9d01e722e6744d8aa15358f092350eb
Autor:
Tadas Žvirblis, Linas Petkevičius, Damian Bzinkowski, Dominykas Vaitkus, Pranas Vaitkus, Mirosław Rucki, Artūras Kilikevičius
Publikováno v:
Advances in Mechanical Engineering, Vol 14 (2022)
In this paper, long short-term memory (LSTM) and Transformer neural network models were developed for classification of different conveyor belt conditions (loaded and unloaded). Comparative shallow models such as logistic regression, support vector m
Externí odkaz:
https://doaj.org/article/c91a98368b89481b921f227432ab7abc
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 47, Iss spec. (2021)
In this paper extreme learning machine and support vector regression are used for biosensors response to mixtures of compounds classification. The results are compared with the results obtained using artificial neural networks and others.
Externí odkaz:
https://doaj.org/article/72c2db5de39e4d5693f33cf9354c1a74
Publikováno v:
Nonlinear Analysis, Vol 23, Iss 1 (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 regression method by implementing the extreme learning machine (ELM) algorithm and features of
Externí odkaz:
https://doaj.org/article/383fa67ff6f44ab3801b3d39d2d9f876
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss A (2016)
We propose a feature extraction algorithm, based on the Hilbert–Schmidt independence criterion (HSIC) and the maximum dependence – minimum redundancy approach. Experiments with classification data sets demonstrate that suggested Hilbert–Schmidt
Externí odkaz:
https://doaj.org/article/169de564ee4d495f9354548f9edac860
Autor:
Audrius Indriulionis, Pranas Vaitkus
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss A (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 free technique for the numerical solution of partial differential equations. The condition
Externí odkaz:
https://doaj.org/article/1191301519434a49893ad6064d809996
Publikováno v:
Technological and Economic Development of Economy, Vol 20, Iss 1 (2014)
The paper considers the relationship between greenhouse gas emissions (GHG) as the main variable of climate change and gross domestic product (GDP), using the environmental Kuznets curve (EKC) technique. At early stages of economic growth, EKC indica
Externí odkaz:
https://doaj.org/article/cad2145b86234362899490473973ea1c
Autor:
Jurga Rukšėnaitė, Pranas Vaitkus
Publikováno v:
Nonlinear Analysis, Vol 17, Iss 2 (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) of Lithuania’s economy. CI is composed of widely used social and economic indicators. The
Externí odkaz:
https://doaj.org/article/4dadf7c9ec754a57944b911ee9945d76
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 52, Iss proc. LMS (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 work [4] was laid a proper foundation of this problem. In the case when random variables ar
Externí odkaz:
https://doaj.org/article/7a4b106b2fd542c4a3b4300d47d0e25c