Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Goran Kvascev"'
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:
Velibor Andric, Goran Kvascev, Milos Cvetanovic, Sasa Stojanovic, Nebojsa Bacanin, Maja Gajic-Kvascev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract EDXRF spectrometry is a well-established and often-used analytical technique in examining materials from which cultural heritage objects are made. The analytical results are traditionally subjected to additional multivariate analysis for arc
Externí odkaz:
https://doaj.org/article/b66243b72a6c40bbbe9ae9e494879ae2
Autor:
Mihailo Bjekic, Ana Lazovic, Venkatachalam K, Nebojsa Bacanin, Miodrag Zivkovic, Goran Kvascev, Bosko Nikolic
Publikováno v:
PeerJ Computer Science, Vol 9, p e1565 (2023)
Wall segmentation is a special case of semantic segmentation, and the task is to classify each pixel into one of two classes: wall and no-wall. The segmentation model returns a mask showing where objects like windows and furniture are located, as wel
Externí odkaz:
https://doaj.org/article/15604e6c1a3a453da1e330387ce0e95e
Autor:
Dejan Pavlovic, Mikolaj Czerkawski, Christopher Davison, Oskar Marko, Craig Michie, Robert Atkinson, Vladimir Crnojevic, Ivan Andonovic, Vladimir Rajovic, Goran Kvascev, Christos Tachtatzis
Publikováno v:
Sensors, Vol 22, Iss 6, p 2323 (2022)
Monitoring and classification of dairy cattle behaviours is essential for optimising milk yields. Early detection of illness, days before the critical conditions occur, together with automatic detection of the onset of oestrus cycles is crucial for o
Externí odkaz:
https://doaj.org/article/b4ff19074643401a987e19086c05c554
Autor:
Milorad Zakic, Goran Kvascev
Publikováno v:
Energija, ekonomija, ekologija. :68-74
This paper deals with the application of neural networks to fault location on extra-high voltage (EHV) transmission lines. A relatively simple power system, consisting of two 220 kV power grids connected with one transmission line, has been modelled
Autor:
Bosko Nikolic, Nikola Savanović, Goran Kvascev, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin, Marina Marjanović
Publikováno v:
Electronics; Volume 11; Issue 22; Pages: 3798
Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide pandemic since its emergence. One of the most important ways to control the spread of this disease begins with early detection, which allows that isolation and trea
Publikováno v:
2022 30th Telecommunications Forum (TELFOR).
Autor:
Goran Kvascev, Zeljko Djurovic
Publikováno v:
Energies; Volume 15; Issue 17; Pages: 6310
The paper presents an analysis of water-level control in a thermal power plant (TPP) steam separator. This control structure is vital for the entire plant’s stable, reliable, and efficient operation. This process belongs to processes with an integr
Autor:
Zeljko M. Durovic, Aleksandra Marjanovic, Goran Kvascev, P. Jandric, U. Rakonjac, Sanja Vujnovic
Publikováno v:
2021 25th International Conference on Information Technology (IT).
Performing maintenance checks and state detection of machines with rotary actuators in industry is a challenging task which requires expensive and complicated equipment. One of the ways to perform this is using a system based on recording and analysi
Publikováno v:
2020 24th International Conference on Information Technology (IT).
In this paper we propose one possible solution of microprocessor hardware platform for acquisition of sound signals from coal mill in thermal power plant. Proposed platform is based on Raspberry Pi 3B microcomputer, running Raspbian operating system.