Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kruna Ratković"'
Publikováno v:
Methods in Psychology, Vol 11, Iss , Pp 100156- (2024)
This guide presents a detailed overview of the most used machine learning (ML) techniques for psychologists who may not be familiar with advanced statistical methods, algorithms, or programming. Recognizing the growing interest in using data-driven a
Externí odkaz:
https://doaj.org/article/f093a54e76db4c5c936638a65035c465
Autor:
António Fernandes, Nataša Kovač, Hélder Fraga, André Fonseca, Sanja Šućur Radonjić, Marko Simeunović, Kruna Ratković, Christoph Menz, Sergi Costafreda-Aumedes, João A. Santos
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 8, p 270 (2024)
The Montenegrin climate is characterised as very heterogeneous due to its complex topography. The viticultural heritage, dating back to before the Roman empire, is settled in a Mediterranean climate region, located south of the capital Podgorica, whe
Externí odkaz:
https://doaj.org/article/24b36dbc74f94bdaade9431a27bd2234
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10152 (2023)
Air pollution is a critical environmental concern that poses significant health risks and affects multiple aspects of human life. ML algorithms provide promising results for air pollution prediction. In the existing scientific literature, Long Short-
Externí odkaz:
https://doaj.org/article/55f1c97e8afd43baa96b26abb9b03ff6
Autor:
Kruna Ratković
Publikováno v:
Industrija, Vol 44, Iss 4, Pp 19-46 (2016)
The focus of this paper is on a comprehensive analysis of different methods and mathematical techniques used for solving optimal control problems (OCP) in growth theory. Most important methods for solving dynamic non-linear infinite-horizon growth mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3610fc7ba214ac5200f39e93b65d34ff
https://doi.org/10.5937/industrija44-10874
https://doi.org/10.5937/industrija44-10874