Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Milan Stojkov"'
Publikováno v:
IEEE Access, Vol 12, Pp 32597-32617 (2024)
The micro cloud model offers cloud behavior at the edge of the network. It allows dynamic organization of the resources, closer to the users and the data. One of the crucial problems to solve is to design a proper cloud model at the edge of the netwo
Externí odkaz:
https://doaj.org/article/fe936abf91a644fd8f64626429057a7c
Publikováno v:
Energies, Vol 14, Iss 21, p 6862 (2021)
The critical infrastructure is constantly under cyber and physical threats. Applying security controls without guidance or traceability can create a false sense of security. Security standards facilitate security knowledge and control best practices
Externí odkaz:
https://doaj.org/article/46f7e67820df49c399cbb0898f3fe9c5
Publikováno v:
Proceedings on 18th International Conference on Industrial Systems – IS’20 ISBN: 9783030979461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2513ae323fdb47500be7f67a2e2f85c
https://doi.org/10.1007/978-3-030-97947-8_26
https://doi.org/10.1007/978-3-030-97947-8_26
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 5, Pp 1059-1079 (2024)
Water quality prediction is crucial for effective river stream management. Dissolved oxygen, conductivity and chemical oxygen demand are vital chemical parameters for water quality. Development of machine learning (ML) and deep learning (DL) methods
Externí odkaz:
https://doaj.org/article/e8d662d2ce7c43dbb715775a3956c2c5
Autor:
Sanja Cojbasic, Sonja Dmitrasinovic, Marija Kostic, Maja Turk Sekulic, Jelena Radonic, Ana Dodig, Milan Stojkovic
Publikováno v:
Water Science and Technology, Vol 88, Iss 9, Pp 2297-2308 (2023)
Machine learning (ML), a branch of artificial intelligence (AI), has been increasingly used in environmental engineering due to the ability to analyze complex nonlinear problems (such as ones connected with water quality management) through a data-dr
Externí odkaz:
https://doaj.org/article/05e1414f4c90436a98da5b002ecb86c0
Autor:
Srđan Kostić, Milan Stojković
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
In the present paper we examine the effect of the noise in river level oscillation on the landslide dynamics. The analysis is conducted in several phases. In the first phase, we analyze the multi-annual level oscillation of the Kolubara and the Ibar
Externí odkaz:
https://doaj.org/article/7201c1078478450682b5f5adfcb1ef08
Autor:
Milan Stojković, Dusan Marjanović, Dragan Rakić, Damjan Ivetić, Višnja Simić, Nikola Milivojević, Slaviša Trajković
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 2, Pp 208-225 (2023)
The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe flood event and an earthqu
Externí odkaz:
https://doaj.org/article/1418ba9b39004ed18a70997de17f930d
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 2, Pp 318-331 (2023)
In this paper, the use of a novel genetic fuzzy rule-based system (FRBS) is proposed for assessing the resilience of a water resources system to hazards. The proposed software framework generates a set of highly interpretable rules that transparently
Externí odkaz:
https://doaj.org/article/9aaa47bc89714600a363393ffd15b9ad
Publikováno v:
SISY
This paper presents Crypto-Tutor, a tool for learning modern cryptographic algorithms. Our tool offers an interactive way to learn about the uses and structure of several popular cryptographic algorithms, as well as the underlying mathematical concep
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 558 (2022)
The paper presents a functionality investigation of the key dam elements based on finite element analysis. A detailed analysis of filtration processes, dam strength, and the surrounding rock mass was conducted. Dam elements whose potential damage cou
Externí odkaz:
https://doaj.org/article/948a5127740a469792f9a1691e7d1451