Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Goran Andonovski"'
Publikováno v:
Machines, Vol 12, Iss 8, p 508 (2024)
The paper presents a novel decision support system designed to improve the efficiency and effectiveness of decision-making for electric arc furnace (EAF) operators. The system integrates two primary tools: the EAF Simulator, which is based on advance
Externí odkaz:
https://doaj.org/article/36fb94bb420b4c49b1ba4068296659b5
Publikováno v:
IEEE Access, Vol 9, Pp 158470-158480 (2021)
This paper presents a new approach to neuro-fuzzy model identification based on a filtered recursive least squares method combined with an incrementally evolving Gaussian clustering method. The proposed identification algorithm generates the model on
Externí odkaz:
https://doaj.org/article/ed74ef7770dc42938980224ce5cdc4c5
Publikováno v:
Metals, Vol 12, Iss 5, p 816 (2022)
In the steel industry, the optimization of production processes has become increasingly important in recent years. Large amounts of historical data and various machine learning methods can be used to reduce energy consumption and increase overall tim
Externí odkaz:
https://doaj.org/article/46d5f7f74bd84e6eadc1574fe7dde8ef
Publikováno v:
Journal of the Franklin Institute. 358:1376-1402
Overhead cranes are widely used structures for lifting and conveying heavy loads. The development of feedback control systems for such equipment is important due to the large number of potential applications and advantages over manual operation conce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd0587f1ca9d2fac91e824cbabc77f92
https://doi.org/10.1016/j.jfranklin.2020.12.003
https://doi.org/10.1016/j.jfranklin.2020.12.003
Autor:
Goran Andonovski, Igor Skrjanc
Publikováno v:
2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::defebb20e3a314e4c3a54f91ef3899ac
https://doi.org/10.1109/eais51927.2022.9787746
https://doi.org/10.1109/eais51927.2022.9787746
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:583-596
We introduce an incremental learning method for the optimal construction of rule-based granular systems from numerical data streams. The method is developed within a multiobjective optimization framework considering the specificity of information, mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15daceb0a12c06688efe4e2e323993fb
https://doi.org/10.1109/tfuzz.2019.2911493
https://doi.org/10.1109/tfuzz.2019.2911493
Publikováno v:
Expert systems with applications, vol. 207, no. 117881, 2022.
In this paper, we present an evolving data-based approach to automatically cluster Twitter users according to their behavior. The clustering method is based on the Gaussian probability density distribution combined with a Takagi-Sugeno fuzzy conseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc7852b9abae9100eb43c362624f302
https://doi.org/10.1016/j.eswa.2022.117881
https://doi.org/10.1016/j.eswa.2022.117881
Autor:
Araceli Sanchis, Goran Andonovski, Oscar Sipele, Edwin Lughofer, Jose Antonio Iglesias, Igor Škrjanc
Publikováno v:
SSCI
This paper presents an evolving cloud-based algorithm for detecting driver actions and is actually a continuation of our earlier work. The general idea is to develop a system that is able to detect different maneuvers that drivers perform while drivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075909d33594bf6b9b62d6cf9f8c6c9c
https://doi.org/10.1109/ssci47803.2020.9308520
https://doi.org/10.1109/ssci47803.2020.9308520
Autor:
Mailson Ribeiro Santos, Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes, Goran Andonovski
Publikováno v:
Expert Systems with Applications. 189:115983
This work proposes a methodology for fault identification of dynamic systems using an online evolving approach. The proposed methodology is divided into three stages: pre-processing, processing, and post-processing. The central part of our approach c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec0588d3193875c6fec8c22705b0e852
https://doi.org/10.1016/j.eswa.2021.115983
https://doi.org/10.1016/j.eswa.2021.115983
Publikováno v:
at - Automatisierungstechnik. 66:725-734
This paper presents a robust evolving cloud-based controller named RECCo. The controller has an evolving fuzzy structure and the rules are represented by data clouds. The evolving part of the algorithm allows adding of new rules (clouds) and moreover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8cb60b1a2d34cbce99a30b32f7472d
https://doi.org/10.1515/auto-2018-0024
https://doi.org/10.1515/auto-2018-0024