Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Balazs Csutak"'
Publikováno v:
IEEE Access, Vol 10, Pp 84934-84945 (2022)
In this paper, a predictive-control-based approach is proposed for pandemic mitigation with multiple control inputs. Using previous results on the dynamical modeling of symptom-based testing, the testing intensity is introduced as a new manipulable i
Externí odkaz:
https://doaj.org/article/ae2112de096042c0a92f339165adc13c
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::120fd7c90752ffe3b4e1abf45a67e2fe
https://doi.org/10.1109/icecet55527.2022.9873061
https://doi.org/10.1109/icecet55527.2022.9873061
Publikováno v:
Nonlinear Dynamics
The management of COVID-19 appears to be a long-term challenge, even in countries that have managed to suppress the epidemic after their initial outbreak. In this paper, we propose a model predictive approach for the constrained control of a nonlinea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d94bea3a383d6d31016fa588f09146b
http://europepmc.org/articles/PMC7709478
http://europepmc.org/articles/PMC7709478
Publikováno v:
SACI
In this paper, we estimate epidemiological data of the COVID-19 pandemic in Hungary using only the daily number of hospitalized patients, and applying well-known techniques from systems and control theory. We use a previously published and validated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7834ae5a83e71d6648661a0250ebb304
https://doi.org/10.1109/saci51354.2021.9465563
https://doi.org/10.1109/saci51354.2021.9465563
Publikováno v:
StuCoSReC. Proceedings of the 2019 6th Student Computer Science Research Conference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6217fd3109e65ff83d90c1e3d911313e
https://eprints.sztaki.hu/9843/
https://eprints.sztaki.hu/9843/
Autor:
Corina VERNIC, Balázs CSUTAK, Ovidiu Horea BEDREAG, Sebastian-Aurelian ŞTEFĂNIGĂ, Călin MUNTEAN
Publikováno v:
Applied Medical Informatics, Vol 45, Iss Suppl. S1, Pp S20-S20 (2023)
In the landscape of modern healthcare, the evolution of critical care has been marked by the integration of innovative technologies and the emergence of patient-centered approaches. This study aimed to explore the potential of Artificial Intelligence
Externí odkaz:
https://doaj.org/article/c44a6925deb04b17b1c92591f3c601c5
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1113 (2022)
In this paper, we propose a model-based method for the reconstruction of not directly measured epidemiological data. To solve this task, we developed a generic optimization-based approach to compute unknown time-dependent quantities (such as states,
Externí odkaz:
https://doaj.org/article/d356e2f8399b4769a26bd606e133c6b2