Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Mladen Nikolić"'
Autor:
Andjelka B. Kovačević, Dragana Ilić, Luka Č. Popović, Nikola Andrić Mitrović, Mladen Nikolić, Marina S. Pavlović, Iva Čvorović-Hajdinjak, Miljan Knežević, Djordje V. Savić
Publikováno v:
Universe, Vol 9, Iss 6, p 287 (2023)
Deep learning techniques are required for the analysis of synoptic (multi-band and multi-epoch) light curves in massive data of quasars, as expected from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). In this follow-up study, w
Externí odkaz:
https://doaj.org/article/1ad73b3cc01c43a880dfa3c3db8cc244
Autor:
Đorđe V. Savić, Isidora Jankov, Weixiang Yu, Vincenzo Petrecca, Matthew J. Temple, Qingling Ni, Raphael Shirley, Andjelka B. Kovačević, Mladen Nikolić, Dragana Ilić, Luka Č. Popović, Maurizio Paolillo, Swayamtrupta Panda, Aleksandra Ćiprijanović, Gordon T. Richards
Publikováno v:
The Astrophysical Journal, Vol 953, Iss 2, p 138 (2023)
Development of the Rubin Observatory Legacy Survey of Space and Time (LSST) includes a series of Data Challenges (DCs) arranged by various LSST Scientific Collaborations that are taking place during the project's preoperational phase. The AGN Science
Externí odkaz:
https://doaj.org/article/379166cd6991401b939190972e73c463
Publikováno v:
Tehnički Vjesnik, Vol 26, Iss 5, Pp 1244-1252 (2019)
This paper discusses research results with regard to energy-efficient transmission of serialised data between servers and mobile devices. A test environment was created in which the research authors primarily measured electricity consumption during c
Externí odkaz:
https://doaj.org/article/e98378e0bcf044b2b6f180cf00c0a724
Autor:
Savić, Andjelka B. Kovačević, Dragana Ilić, Luka Č. Popović, Nikola Andrić Mitrović, Mladen Nikolić, Marina S. Pavlović, Iva Čvorović-Hajdinjak, Miljan Knežević, Djordje V.
Publikováno v:
Universe; Volume 9; Issue 6; Pages: 287
Deep learning techniques are required for the analysis of synoptic (multi-band and multi-epoch) light curves in massive data of quasars, as expected from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). In this follow-up study, w
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1687 (2020)
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external drift and regression krig
Externí odkaz:
https://doaj.org/article/7dece9a19db7478f87bb8d165be54b10
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105683
Publikováno v:
Expert Systems with Applications. 212:118728
Gaussian conditional random fields (GCRF) are a well-known used structured model for continuous outputs that uses multiple unstructured predictors to form its features and at the same time exploits dependence structure among outputs, which is provide
Autor:
Milena Nikolić, Mladen Nikolić
Publikováno v:
Journal of Process Management and New Technologies, Vol 1, Iss 1, Pp 87-92 (2013)
Organophosphorus compounds are most toxic synthesized substances. This group consists of the substances used in the composition of chemical weapons. Less toxic substances in this group are used as insecticides. These compounds are inhibitors of
Externí odkaz:
https://doaj.org/article/f3cfe52463f44ccb82e9b56b00665009
Publikováno v:
Journal of Process Management and New Technologies, Vol 1, Iss 1, Pp 82-86 (2013)
Chloropicrin is a chemical substance that has a very toxic effect. Exerts its effect on the respiratory system. Causes pulmonary edema and difficult breathing and suffocating effect. Respiratory protection may be carried into execution respirato
Externí odkaz:
https://doaj.org/article/9f3ab13bcda34745a3e6691f0e07ef37
Autor:
Mladen Nikolić
Publikováno v:
Pravo i privreda. 58:279-296