Zobrazeno 1 - 10
of 398
pro vyhledávání: '"M Leski"'
Publikováno v:
Iranian Journal of Public Health, Vol 38, Iss 4, Pp 56-63 (2009)
"nBackground: We investigated whether the C-819T SNP of the CTLA4 gene is associated with Type 1 diabetes (T1D) for the Egyptian population, a multi-ethnic group. We determined if expression of the C-819T SNP correlated with onset of T1D for Egyptia
Externí odkaz:
https://doaj.org/article/7d2236d603a44ffc85dfceb933bc2562
Autor:
Jacek M. Leski
Publikováno v:
Fuzzy Sets and Systems. 465:108531
Autor:
Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski, Jacek M. Leski
Publikováno v:
Sensors, Vol 20, Iss 3, p 765 (2020)
Atrial fibrillation (AF) is a serious heart arrhythmia leading to a significant increase of the risk for occurrence of ischemic stroke. Clinically, the AF episode is recognized in an electrocardiogram. However, detection of asymptomatic AF, which req
Externí odkaz:
https://doaj.org/article/4bf28ce4632f46f0969e347bdf1dd814
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:2799-2813
This article introduces a new classifier design method that is based on a modification of the traditional fuzzy clustering. First, a new fuzzy ordered $c$ -means clustering is proposed. This method can be considered as a generalization of the concept
Publikováno v:
Biocybernetics and Biomedical Engineering. 39:1036-1046
The aim of this study was to improve the robust weighted averaging based on criterion function minimization and assess its effectiveness for extracting event-related brain potentials (ERP) from electroencephalographic (EEG) recordings. The areas of i
Publikováno v:
Expert Systems with Applications. 118:109-126
Objective: In this study we propose a fuzzy classifier whose rule antecedents are determined based on the new approach to Clustering with Pairs of Prototypes (CPP). After demonstrating the high generalization ability of the classifier for six various
Publikováno v:
BIBE
CardioTocoGraphy (CTG) is a fundamental procedure to support fetal diagnosis during pregnancy and labor, which involves registration and analysis of fetal heart rate and uterine contraction signals. As the fetal state assessment based on visual evalu
Publikováno v:
MIXDES
CardioTocoGraphic (CTG) monitoring is the primary method of fetal condition assessment. Due to the inter- and intra-observer disagreement between experts when evaluating signals visually, a well established solution supporting the diagnostic decision
Autor:
Radana Kahankova, Tomasz Kupka, Janusz Jezewski, Janusz Wrobel, Michal Jezewski, Robert Czabanski, Adam Matonia, Radek Martinek, Krzysztof Horoba, Jacek M. Leski
Publikováno v:
Sensors
Volume 20
Issue 3
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 765 (2020)
Volume 20
Issue 3
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 765 (2020)
Atrial fibrillation (AF) is a serious heart arrhythmia leading to a significant increase of the risk for occurrence of ischemic stroke. Clinically, the AF episode is recognized in an electrocardiogram. However, detection of asymptomatic AF, which req
Autor:
Marian Kotas, Jacek M. Leski
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 28, Iss 3, Pp 545-557 (2018)
This paper introduces a method of data clustering that is based on linguistically specified rules, similar to those applied by a human visually fulfilling a task. The method endeavors to follow these remarkable capabilities of intelligent beings. Eve