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Szilvia Nagy
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2020 – today
- 2023
- [j10]Fatimah I. Abdulsahib, Belal Al-Khateeb
, László T. Kóczy, Szilvia Nagy:
A transfer learning approach for the classification of liver cancer. J. Intell. Syst. 32(1) (2023) - [j9]Hussein Taha, Péter Vári, Szilvia Nagy
:
Co-Channel Compatibility Analysis of IMT Networks and Digital Terrestrial Television Broadcasting in the Frequency Range 470-694 MHz Based on Monte Carlo Simulation. Sensors 23(21): 8714 (2023) - 2021
- [j8]Brigita Sziová
, Szilvia Nagy
, Zoltán Fazekas
:
Application of Structural Entropy and Spatial Filling Factor in Colonoscopy Image Classification. Entropy 23(8): 936 (2021) - [c9]Szilvia Nagy
, Raneem Ismail, Brigita Sziová, László T. Kóczy:
On classical and fuzzy Hough transform in colonoscopy image processing. AFRICON 2021: 1-6 - [c8]Ferenc Lilik
, Szilvia Nagy
, Melinda Kovács, Szonja Krisztina Szujó, László T. Kóczy:
Interpolative decisions in the fuzzy signature based image classification for liver CT. FUZZ-IEEE 2021: 1-6 - [p2]Szilvia Nagy, Ferenc Lilik, Brigita Sziová, Melinda Kovács, László T. Kóczy:
On the Applicability of Fuzzy Rule Interpolation and Wavelet Analysis in Colorectal Image Segment Classification. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 243-255 - 2020
- [j7]Szilvia Nagy, Brigita Sziová, Levente Solecki:
The effect of background and outlier subtraction on the structural entropy of two-dimensional measured data. Int. J. Reason. based Intell. Syst. 12(3): 200-209 (2020) - [j6]Ferenc Lilik, Levente Solecki, Brigita Sziová, László T. Kóczy, Szilvia Nagy:
On Wavelet Based Enhancing Possibilities of Fuzzy Classification Methods. J. Autom. Mob. Robotics Intell. Syst. 14(2): 32-41 (2020) - [j5]Melinda Kovács, Szilvia Nagy:
Computerised Tomography of Human Liver Images. J. Multim. Process. Technol. 11(4): 137-144 (2020) - [j4]György Kovács
, Szilvia Nagy
:
Ultrasonic Sensor Fusion Inverse Algorithm for Visually Impaired Aiding Applications. Sensors 20(13): 3682 (2020) - [c7]Brigita Sziová, Raneem Ismail, Ferenc Lilik, László T. Kóczy, Szilvia Nagy:
Fuzzy rulebase parameter determination for stabilized KH interpolation based detection of colorectal polyps on colonoscopy images. FUZZ-IEEE 2020: 1-6
2010 – 2019
- 2019
- [j3]Szilvia Nagy
, Brigita Sziová
, János Pipek
:
On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy Pictures. Entropy 21(3): 256 (2019) - [c6]Szilvia Nagy, Melinda Kovács, Brigita Sziová, László T. Kóczy:
Fuzzy Hough transformation in aiding computer tomography based liver diagnosis. AFRICON 2019: 1-4 - [p1]Szilvia Nagy, Levente Solecki:
Wavelet Analysis and Structural Entropy Based Intelligent Classification Method for Combustion Engine Cylinder Surfaces. Interactions Between Computational Intelligence and Mathematics (2) 2019: 127-138 - 2018
- [j2]Ferenc Lilik
, Szilvia Nagy
, László T. Kóczy
:
Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks. Complex. 2018: 3685927:1-3685927:14 (2018) - [c5]Szilvia Nagy, Brigita Sziová, László T. Kóczy:
The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - towards hierarchical fuzzy classification of coloscopic still images. FUZZ-IEEE 2018: 1-7 - 2017
- [c4]Szilvia Nagy, Ferenc Lilik, László T. Kóczy:
Entropy based fuzzy classification and detection aid for colorectal polyps. AFRICON 2017: 78-82 - [c3]Szilvia Nagy
, Ferenc Lilik, László T. Kóczy:
Applicability of various wavelet families in fuzzy classification of access networks' telecommunication lines. FUZZ-IEEE 2017: 1-6 - 2016
- [c2]Brigita Sziová, Szilvia Nagy
, András Fehér, János Pipek:
Multiresolution modeling of cavity resonators in microwave systems. SMACD 2016: 1-4 - 2015
- [c1]Ferenc Lilik, Szilvia Nagy
, László T. Kóczy:
Wavelet based fuzzy rule bases in pre-qualification of access networks' wire pairs. AFRICON 2015: 1-5 - 2013
- [j1]János Pipek, Szilvia Nagy
:
An economic prediction of refinement coefficients in wavelet-based adaptive methods for electron structure calculations. J. Comput. Chem. 34(6): 460-465 (2013)
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