Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mindaugas Kavaliauskas"'
Autor:
Mantas Deimantavicius, Edvinas Chaleckas, Katherine Boere, Vilma Putnynaite, Tomas Tamosuitis, Arimantas Tamasauskas, Mindaugas Kavaliauskas, Saulius Rocka, Aidanas Preiksaitis, Saulius Vosylius, Solventa Krakauskaite, Kristina Berskiene, Vytautas Petkus, Arminas Ragauskas
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Optimal cerebral perfusion pressure (CPPopt)-targeted treatment of traumatic brain injury (TBI) patients requires 2–8 h multi-modal monitoring data accumulation to identify CPPopt value for individual patient. Minimizing the time required
Externí odkaz:
https://doaj.org/article/d98a12eedb10462793c7801e08bb4c62
Autor:
Abdonas Tamosiunas, Janina Petkeviciene, Ricardas Radisauskas, Gailute Bernotiene, Dalia Luksiene, Mindaugas Kavaliauskas, Irena Milvidaitė, Dalia Virviciute
Publikováno v:
BMC Cardiovascular Disorders, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background This study aimed to assess the trends in the prevalence of electrocardiographic (ECG) abnormalities from 1986 to 2015 and impact of ECG abnormalities on risk of death from cardiovascular diseases (CVD) in the Lithuanian population
Externí odkaz:
https://doaj.org/article/7f5f1e7a9e60440e959ef990632917c4
Publikováno v:
Medicina, Vol 56, Iss 7, p 346 (2020)
Background and objectives: Many studies have been carried out on the negative health effects of exposure to PM10, PM 2.5, NO2, CO, SO2 and B[a]P for small populations. The main purpose of this study was to explore the association of air pollution to
Externí odkaz:
https://doaj.org/article/3a70142e28da47d3b83822247358e86e
Autor:
Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 54, Iss B (2013)
Projection pursuit method and its application to probability density estimation is discussed. Method proposed by J.H. Friedman, based on projection density estimation using orthogonal Legendre polynomials, is analysed. Problem of Legendre polynomial
Externí odkaz:
https://doaj.org/article/1d7057c8de2a488ab5cec691337e56e4
Autor:
Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 53, Iss B (2012)
In this article author analyses musical works of Lithuanian compositors using statistical methods. Markov chains are used to describe compositions. Stationary distributions are used as feature vectors for clustering. A few interpretations of clusters
Externí odkaz:
https://doaj.org/article/fdac744301564d839fc40b277d17e76f
Autor:
Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 52, Iss proc. LMS (2011)
Connection of music and mathematics is known from Pythagoras. Music sounds are in harmony if it satisfies certain mathematical conditions. Despite tight connection between music and mathematics, the idea of using mathematical methods in musicology wa
Externí odkaz:
https://doaj.org/article/011bd9d534c24c8cbb123e2f65f60dcb
Autor:
Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 51, Iss proc. LMS (2010)
Lithuanian speleology expedition to the Krubera-Voronya cave, the deepest known cave in the world, was organized in summer of 2009. The data from water lever logger devices was read. Data of cave water level and meteorologic data is analysed. Mathema
Externí odkaz:
https://doaj.org/article/70e2ccc347c44e1a8df083d440104d04
Autor:
Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 50, Iss proc. LMS (2009)
Nonparametric estimation of multivariate multimodal probability density is analysed. The projection pursuit density estimator was proposed by J.H. Friedman. Author of this paper proposes the modifications of original Friedman algorithm: employing a k
Externí odkaz:
https://doaj.org/article/cfde65702e3f4b06b016a34a88531a94
Autor:
Tomas Ruzgas, Mindaugas Kavaliauskas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 45, Iss spec. (2005)
This paper algorithmically and empirically studies five major types of nonparametric multivariate density estimation techniques, where no assumption is made about data being drawn from any of known parametric families of distribution. There is develo
Externí odkaz:
https://doaj.org/article/538577a0d10941d1830e4e1c13a0041a
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 42, Iss spec. (2002)
There is not abstract.
Externí odkaz:
https://doaj.org/article/143ead83c7644db884babe49000fcc27