Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mantas Lukauskas"'
Autor:
Tomas Ruzgas, Irma Jankauskienė, Audrius Zajančkauskas, Mantas Lukauskas, Matas Bazilevičius, Rugilė Kaluževičiūtė, Jurgita Arnastauskaitė
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2760 (2024)
Studies of the dynamics of linear and nonlinear differential equations with delays described by mathematical models play a crucial role in various scientific domains, including economics and biology. In this article, the Lambert function method, whic
Externí odkaz:
https://doaj.org/article/0514a39372334318923b1a077f12d966
Autor:
Mantas Lukauskas, Viktorija Šarkauskaitė, Vaida Pilinkienė, Alina Stundžienė, Andrius Grybauskas, Jurgita Bruneckienė
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6119 (2023)
The labor market has been significantly impacted by the rapidly evolving global landscape, characterized by increased competition, globalization, demographic shifts, and digitization, leading to a demand for new skills and professions. The rapid pace
Externí odkaz:
https://doaj.org/article/8abd612002534cd38536b0e829190248
Autor:
Alina Stundziene, Vaida Pilinkiene, Jurgita Bruneckiene, Andrius Grybauskas, Mantas Lukauskas
Publikováno v:
Economies, Vol 11, Iss 5, p 134 (2023)
Traditional forecasting methods usually rely on historical macroeconomic indicators with significant delays. To address this problem, new opportunities for economic modeling and forecasting are emerging by using real-time data and making nowcasting o
Externí odkaz:
https://doaj.org/article/468ca68143c540ae8a0ac54eb9fc91d8
Autor:
Andrius Grybauskas, Vaida Pilinkienė, Mantas Lukauskas, Alina Stundžienė, Jurgita Bruneckienė
Publikováno v:
Economies, Vol 11, Iss 5, p 130 (2023)
This article forms an attempt to expand the ability of online search queries to predict initial jobless claims in the United States and further explore the intricacies of Google Trends. In contrast to researchers who used only a small number of searc
Externí odkaz:
https://doaj.org/article/f35434bd98674af382fa036d2f9ff753
Autor:
Tomas Ruzgas, Laura Kižauskienė, Mantas Lukauskas, Egidijus Sinkevičius, Melita Frolovaitė, Jurgita Arnastauskaitė
Publikováno v:
Axioms, Vol 12, Iss 3, p 288 (2023)
Tax authorities face the challenge of effectively identifying companies that avoid paying taxes, which is not unique to European Union countries. Limited resources often constrain tax administrators, who traditionally rely on time-consuming and labou
Externí odkaz:
https://doaj.org/article/712e58e919f74320afdc34569220709c
Autor:
Mantas Lukauskas, Tomas Ruzgas
Publikováno v:
Mathematics, Vol 11, Iss 3, p 661 (2023)
Unsupervised learning is one type of machine learning with an exceptionally high number of applications in various fields. The most popular and best-known group of unsupervised machine learning methods is clustering methods. The main goal of clusteri
Externí odkaz:
https://doaj.org/article/01caad8f21c744cabec72402bac3f9b6
Autor:
Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė, Andrius Grybauskas, Tomas Ruzgas
Publikováno v:
Engineering Proceedings, Vol 31, Iss 1, p 7 (2022)
Natural language processing is a rapidly expanding field of artificial intelligence, the main goal of which is linguistics. This field allows various mathematical/computer science techniques to be applied to natural language processing. Sentiment ana
Externí odkaz:
https://doaj.org/article/7e2e3ee8f59c4615bd9e7b0e6669caa0
Autor:
Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė, Andrius Grybauskas, Tomas Ruzgas
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3461 (2022)
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic activity is
Externí odkaz:
https://doaj.org/article/01ad4a5491aa4c53bb7d477a0f605732
Autor:
Mantas Lukauskas, Tomas Ruzgas
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2559 (2022)
Data clustering is one area of data mining that falls into the data mining class of unsupervised learning. Cluster analysis divides data into different classes by discovering the internal structure of data set objects and their relationship. This pap
Externí odkaz:
https://doaj.org/article/64c4cc39d04346109025a9fcb3ef2a9d
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2717 (2021)
Estimation of probability density functions (pdf) is considered an essential part of statistical modelling. Heteroskedasticity and outliers are the problems that make data analysis harder. The Cauchy mixture model helps us to cover both of them. This
Externí odkaz:
https://doaj.org/article/29e6646bad8844408950269b9d70d474