Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dražen Drašković"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-48 (2024)
Abstract Machine learning (ML) models have gained significant attention in a variety of applications, from computer vision to natural language processing, and are almost always based on big data. There are a growing number of applications and product
Externí odkaz:
https://doaj.org/article/b258232a1f0b4d9d82938c0b613025bb
Autor:
Zoran Babović, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Stephan French, Borko Furht, Marija Ilić, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Jean-Marie Lehn, Dejan Madić, Marko Marinković, Miodrag Mateljević, Avi Mendelson, Fedor Mesinger, Gradimir Milovanović, Veljko Milutinović, Nenad Mitić, Aleksandar Nešković, Nataša Nešković, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Jelica Protić, Ivan Ratković, Diego Rios, Dan Shechtman, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-25 (2023)
Abstract This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fi
Externí odkaz:
https://doaj.org/article/07923dc0e30449e3b7f3575e73f2bb11
Autor:
Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Marko Marinković, Slobodan Marković, Avi Mendelson, Veljko Milutinović, Aleksandar Nešković, Nataša Nešković, Nenad Mitić, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Ivan Ratković, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasib
Externí odkaz:
https://doaj.org/article/5fc429a2f6b24396bfb370e39e6046ff
Publikováno v:
Journal of Electronic Imaging. 32
Publikováno v:
Telfor Journal. 13:87-91
One way of testing a malware detection tool is to expose it to a large number of diverse malware samples and verify its detection accuracy. During these tests, the host system must not be harmed by malware and yet be able to analyze its harmful behav
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12974 (2022)
Machine learning (ML) has become an increasingly popular choice of scientific research for many students due to its application in various fields. However, students often have difficulty starting with machine learning concepts due to too much focus o
Externí odkaz:
https://doaj.org/article/d677ba7112ab4150abf220bacd85624a
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3236 (2022)
In this research, a method of developing a machine model for sentiment processing in the Serbian language is presented. The Serbian language, unlike English and other popular languages, belongs to the group of languages with limited resources. Three
Externí odkaz:
https://doaj.org/article/98958da77551457fa2514f117198fc8a