Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Liviu Goras"'
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3050 (2024)
We analyzed the possibility of detecting and predicting ventricular fibrillation (VF), a medical emergency that may put people’s lives at risk, as the medical prognosis depends on the time in which medical personnel intervene. Therefore, besides im
Externí odkaz:
https://doaj.org/article/37c5b2a4e72c4c53b6b0721315eabf81
Autor:
Liviu GORAS
Publikováno v:
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică, Vol 32, Iss 1, Pp 5-10 (2009)
Analog Parallel Architectures like Cellular Neural Networks (CNN’s) have been thoroughly studied not only for their potential in high-speed image processing applications but also for their rich and exciting spatio-temporal dynamics. An interesting
Externí odkaz:
https://doaj.org/article/21294f79bb194cbd8b749b34f1c7958d
Autor:
Monica Fira, Liviu Goras
Publikováno v:
2022 E-Health and Bioengineering Conference (EHB).
Publikováno v:
2022 E-Health and Bioengineering Conference (EHB).
Publikováno v:
2021 International Symposium on Signals, Circuits and Systems (ISSCS).
In this communication we discuss several aspects regarding pattern formation in a class of networks consisting of identical cells placed in the nodes of a nondirected signed graph. The approach makes use of the spectral decomposition of nodal variabl
Autor:
Roxana-Daniela Florescu, Liviu Goras
Publikováno v:
2021 International Symposium on Signals, Circuits and Systems (ISSCS).
Several aspects regarding the ways the powerful concepts of sensitivity functions and sensitivity points can be used to analyze the robustness of a DC-DC converter model to component tolerances are presented. The first part of the paper comprises a d
Autor:
Liviu Goras, Monica Fira
Publikováno v:
2021 International Symposium on Signals, Circuits and Systems (ISSCS).
A comparative study concerning ECG signals multiclass classification accuracy based on neural networks (NN) for balanced and imbalanced databases is presented. Classification results obtained on two databases using various extension and balancing tec
Autor:
Monica Fira, Liviu Goras
Publikováno v:
2021 International Symposium on Signals, Circuits and Systems (ISSCS).
In this paper we analyze the influence of the number of features on the results of classification measures for two databases of ECG signals. We use the Laplacian Score for features selection and analyze the classification results obtained with all fe
Publikováno v:
2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE).
Autor:
Monica Fira, Liviu Goras
Publikováno v:
2020 International Conference on e-Health and Bioengineering (EHB).
In this paper we investigate the classification performances of ECG signals subject to various degrees of dimensionality reduction. For each case, results obtained with several classification algorithms are presented and discussed. Two of the three m