Zobrazeno 1 - 10
of 3 770
pro vyhledávání: '"A. Sebestyen"'
The mathematical modeling of the propagation of illnesses has an important role from both mathematical and biological points of view. In this article, we observe an SEIR-type model with a general incidence rate and a non-constant recruitment rate fun
Externí odkaz:
http://arxiv.org/abs/2402.10549
Autor:
Sebestyén, Zoltán, Tarcsay, Zsigmond
We revise Krein's extension theory of positive symmetric operators. Our approach using factorization through an auxiliary Hilbert space has several advantages: it can be applied to non-densely defined transformations and it works in both real and com
Externí odkaz:
http://arxiv.org/abs/2209.00318
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 5 (2024)
PurposeThis case study measured how well the Lee Silverman Voice Treatment (LSVT) improved vocal features, intelligibility, and communicative effectiveness for a multilingual participant with hypokinetic-hyperkinetic dysarthria secondary to suspected
Externí odkaz:
https://doaj.org/article/0f1d1fdc6d7643639fb3d1904d6ee397
Autor:
Rjiba, Iskander Ben, Tóth-Nagy, Georgina, Rostási, Ágnes, Gyurácz-Németh, Petra, Sebestyén, Viktor
Publikováno v:
In Journal of Environmental Management November 2024 370
Autor:
Juhász, Ágnes, Sebestyén, Nóra, Árva, Dorottya, Barta, Veronika, Pártos, Katalin, Vokó, Zoltán, Rákosy, Zsuzsa
Publikováno v:
In Journal of School Psychology October 2024 106
Autor:
László, Krisztina, Czakkel, Orsolya, Domján, Attila, Sáfrán, György, Sebestyén, Zoltán, Bulátkó, Anna, Villar-Rodil, Silvia, Tascón, Juan M.D., Geissler, Erik
Publikováno v:
In Carbon October 2024 229
Autor:
Sebestyen Gergely, Kopjak József
Publikováno v:
Acta Electrotechnica et Informatica, Vol 23, Iss 4, Pp 3-9 (2023)
In this study, we explore innovative strategies for enhancing energy efficiency in Wireless Sensor Networks (WSNs), with a focus on the IQRF network. Our approach integrates dynamic sleep scheduling and data collection methods to optimize battery usa
Externí odkaz:
https://doaj.org/article/1151d92afe214cdd84841aa0dc5dac51
Publikováno v:
Sensors, Vol 24, Iss 19, p 6393 (2024)
The rapid increase in new malware necessitates effective detection methods. While machine learning techniques have shown promise for malware detection, most research focuses on identifying malware through the content of executable files or full behav
Externí odkaz:
https://doaj.org/article/b484c354fa0b4a1784381f10cf45254f
Autor:
Sebestyen, Gergely1 (AUTHOR) sebestyen.gergely@kvk.uni-obuda.hu, Kopjak, Jozsef2 (AUTHOR) kopjak.jozsef@kvk.uni-obuda.hu
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 15, p4977. 25p.
Publikováno v:
In Applied Numerical Mathematics December 2024 206:75-93