Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Martin Marzidovšek"'
Publikováno v:
Water, Vol 16, Iss 15, p 2160 (2024)
The diversity of phytoplankton influences the structure of and processes that occur in marine ecosystems, with size and other morphological traits being crucial for nutrient uptake and retention in the euphotic zone. Our research introduces a machine
Externí odkaz:
https://doaj.org/article/32492d4b3a5541a481a688e63d40d25b
Publikováno v:
Ecological Modelling. 471:110065
BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists' needs and allows them to study the topology and dynamics of ecological networks as well as apply selected machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08c6f774597a3df28c086c8a049d322c
https://doi.org/10.1016/j.ecolmodel.2022.110065
https://doi.org/10.1016/j.ecolmodel.2022.110065
Autor:
Bojan Cestnik, Sergej Pirkmajer, Senja Pollak, Matej Martinc, Nada Lavrač, Martin Marzidovšek, Blaž Škrlj
Publikováno v:
Discovery Science ISBN: 9783030615260
DS
DS
The abundance of literature related to the widespread COVID-19 pandemic is beyond manual inspection of a single expert. Development of systems, capable of automatically processing tens of thousands of scientific publications with the aim to enrich ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85d307f7f2771e00ad45e0afb2adcfaa
https://doi.org/10.1007/978-3-030-61527-7_8
https://doi.org/10.1007/978-3-030-61527-7_8
