Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sasa Bakrac"'
Autor:
Siniša Drobnjak, Marko Stojanović, Dejan Djordjević, Saša Bakrač, Jasmina Jovanović, Aleksandar Djordjević
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The objective of this research is to report results from a new ensemble method for vegetation classification that uses deep learning (DL) and machine learning (ML) techniques. Deep learning and machine learning architectures have recently been used i
Externí odkaz:
https://doaj.org/article/a9e791f51ccd4fb1874e4f6c68e74b73
Publikováno v:
Journal of Environmental Engineering and Landscape Management, Vol 29, Iss 3 (2021)
Useful and important information for the spatial, ecological, and many other changes in the living environment may be obtained using the analysis of historical aerial photography, with comparison to contemporary imagery. This method provides the abil
Externí odkaz:
https://doaj.org/article/d7bfdeddca51475a9c603ee34dd85e03
Publikováno v:
Glasnik Srpskog geografskog drustva. 102:55-86
In the first years after World War I, about 60,000 citizens of tsarist Russia, refugees from the civil war and the changes caused by the October Revolution, joined the newly created Kingdom of Serbs, Croats, and Slovenians. Most of them were members
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f9b714d8ba0c1cbac99bb62e6f1d06a
https://doi.org/10.2298/gsgd2201055r
https://doi.org/10.2298/gsgd2201055r
Autor:
T Sasa Bakrac
Publikováno v:
Vojno delo. 69:121-126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::126237aaca8a5b4243fed40d4a22139a
https://doi.org/10.5937/vojdelo1701121b
https://doi.org/10.5937/vojdelo1701121b
Publikováno v:
Vojno delo. 68:393-411
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15bd92fa81bf24752eb7e37e5ef7f7ce
https://doi.org/10.5937/vojdelo1607393b
https://doi.org/10.5937/vojdelo1607393b
Autor:
Ivan Potić, Zoran Srdić, Boris Vakanjac, Saša Bakrač, Dejan Đorđević, Radoje Banković, Jasmina M. Jovanović
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8289 (2023)
Vegetation plays an active role in ecosystem dynamics, and monitoring its patterns and changes is vital for effective environmental resource management. This study explores the possibility of machine learning techniques and remote sensing data to imp
Externí odkaz:
https://doaj.org/article/0149f533791444228c1dee929edbbdf2
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss 4, Pp 1249-1258 (2018)
The paper presents the possibility of drafting and modelling of a part of geographic content of four overview atlas maps of Digital Hydrological Atlas of Serbia (DHAS), scale 1: 5000 000 by using available open access cartographic sources and data, a
Externí odkaz:
https://doaj.org/article/fbc7d9b3ff4649aab6a02aa840afb895
Autor:
Nikola Stamenković, Svetislav Šoškić, Miodrag Kostić, Ljubomir Gigović, Miodrag Regodić, Saša Bakrač
Publikováno v:
Tehnički Vjesnik, Vol 24, Iss 5, Pp 1627-1634 (2017)
This paper presents a possibility of creating and compilation of digital cartographic products of certain geographic area using modern cartographic approach along with the use of traditional cartographic methods and procedures within certain GIS soft
Externí odkaz:
https://doaj.org/article/e3bec8243a184982a3f3d82fcf9e307a