Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Lalić, Branislava"'
Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not only consistent with empirical data but also align with domain-specif
Externí odkaz:
http://arxiv.org/abs/2406.05108
The development of a knowledge repository for climate science data is a multidisciplinary effort between the domain experts (climate scientists), data engineers whos skills include design and building a knowledge repository, and machine learning rese
Externí odkaz:
http://arxiv.org/abs/2304.05944
Book Description: Regardless of the word'balance'being used either globally or locally in any given context, it is undoubtedly the keyword in the increasing number of environmental problems. The underlined sketch is a proper introduction to the quest
Ovaj praktikum je napisan, prvenstveno, da bi služio studentima Poljoprivrednog fakulteta u Novom Sadu za praćenje nastave i vežbi i spremanje ispita iz meteorologije. On u potpunosti obuhvata sadašnje nastavne programe za predmet Meteorologija k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5419d000e7b8c2b701b33af3f2114d72
Autor:
Janković Aleksandar, Lalić Branislava
Publikováno v:
Geographica Pannonica, Vol 18, Iss 1, Pp 1-5 (2014)
Daily global radiation is not only required for a large number of ecological, physiological and agro-meteorological models but also is required for the design and evaluation of solar energy systems. Global radiation data is quite frequently not avail
Externí odkaz:
https://doaj.org/article/1d3436aab6e44290a0c34cf57a3b23da
Akademický článek
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Publikováno v:
Archives of Biological Sciences, Vol 64, Iss 4, Pp 1533-1542 (2012)
In this paper some of aspects in modeling over sparse vegetation using the Land-Air Parameterization Scheme (LAPS), including an approach in calculating the turbulent transfer coefficient using “K-theory” inside a sparse vegetation canopy, were c
Externí odkaz:
https://doaj.org/article/98267e12c5ba402d951164bb39c8a320
Publikováno v:
Ratarstvo i Povrtarstvo, Vol 48, Iss 2, Pp 403-418 (2011)
Effects of climate change on agriculture are particularly significant in undeveloped and developing countries (such as Serbia), due to difficult economic situation and low investments in production improvement. A detailed study of current and future
Externí odkaz:
https://doaj.org/article/baa58fa3ea0c4f8f9c5b3934fb1cba5a
Publikováno v:
Journal of Applied Meteorology (1988-2005), 2004 Apr 01. 43(4), 641-645.
Externí odkaz:
https://www.jstor.org/stable/26185940
Akademický článek
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