Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Aleksandra Kawala-Sterniuk"'
Autor:
Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra Kawala-Sterniuk
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9404 (2024)
Digital society strategies in healthcare include the rapid development of digital twins (DTs) for patients and human organs in medical research and the use of artificial intelligence (AI) in clinical practice to develop effective treatments in a chea
Externí odkaz:
https://doaj.org/article/a8fd0c7b35a142fc8bd6bb3ed7ba3c3e
Autor:
Michaela Recmanik, Radek Martinek, Jan Nedoma, Rene Jaros, Mariusz Pelc, Radovan Hajovsky, Jan Velicka, Martin Pies, Marta Sevcakova, Aleksandra Kawala-Sterniuk
Publikováno v:
Sensors, Vol 24, Iss 15, p 4767 (2024)
The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented metho
Externí odkaz:
https://doaj.org/article/ffa82dce691d47019b6fe532fb8b83d1
Autor:
Mariusz Pelc, Radana Vilimkova Kahankova, Monika Blaszczyszyn, Dariusz Mikolajewski, Mariusz Konieczny, Volodymir Khoma, Gregor Bara, Jaroslaw Zygarlicki, Radek Martinek, Munish K. Gupta, Edward Jacek Gorzelanczyk, Mateusz Pawłowski, Bogdan Czapiga, Malgorzata Zygarlicka, Aleksandra Kawala-Sterniuk
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract In recent times, widely understood spine diseases have advanced to one of the most urgetn problems where quick diagnosis and treatment are needed. To diagnose its specifics (e.g. to decide whether this is a scoliosis or sagittal imbalance) a
Externí odkaz:
https://doaj.org/article/4a84f1bc41774e35bedec5a60b113f2e
Autor:
Waldemar Bauer, Katarzyna Anna Dylag, Adam Lysiak, Wiktoria Wieczorek-Stawinska, Mariusz Pelc, Miroslaw Szmajda, Radek Martinek, Jaroslaw Zygarlicki, Bożena Bańdo, Monika Stomal-Slowinska, Aleksandra Kawala-Sterniuk
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Fetal alcohol spectrum disorders (FASD) are spectrum of neurodevelopmental conditions associated with prenatal alcohol exposure. The FASD manifests mostly with facial dysmorphism, prenatal and postnatal growth retardation, and selected birth
Externí odkaz:
https://doaj.org/article/16905e6a28554143bccce513f177f9b3
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 4 (2023)
In this paper we present an architecture for run-time reconfiguration of network-enabled ubiquitous devices. The whole idea is based on a policy-based system where the whole decision-making (e.g. anomaly detection-related) logic is provided in a form
Externí odkaz:
https://doaj.org/article/f4bd972161b049ec8555b3fa9c8c5928
Publikováno v:
Sensors, Vol 23, Iss 18, p 7983 (2023)
Analysis of biomedical data can provide useful information regarding human condition and as a result—analysis of these signals has become one of the most popular diagnostic methods [...]
Externí odkaz:
https://doaj.org/article/6d432c2d46824f9ca175fc614185df01
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/33525c57a3044cd4ad73540637a06d58
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/dabb1093c6fd45aca56fa32775a8ff4b
Autor:
Yuriy Khoma, Volodymyr Khoma, Michal Podpora, Aleksandra Kawala-Sterniuk, Radek Martinek, Stepan Ozana
Publikováno v:
IEEE Access, Vol 8, Pp 165307-165318 (2020)
Autobalancing bridge method is widely used to measure the impedance of various objects in many fields of science and technology. The article presents an innovative approach to address auto-balancing bridge dynamic errors to extend the range of operat
Externí odkaz:
https://doaj.org/article/e0ba06e73f744b13afc3001dcbfa8886
Publikováno v:
Sensors, Vol 22, Iss 20, p 8005 (2022)
In this paper, the authors have compared all of the currently available Apple MacBook Pro laptops, in terms of their usability for basic machine learning research applications (text-based, vision-based, tabular). The paper presents four tests/benchma
Externí odkaz:
https://doaj.org/article/7d0330b0728d4d9280d8716b220e8704