Galyna Shcherbakova

Odessa National Polytechnic University, Ukraine
Doctor of technical sciences, Associate Professor
Department of Electronic Apparatus & Information Technology

Scopus profile: link
Researcher ID: DQH-8316-2022
Google Scholar profile:
link
ID ORCID: https://orcid.org/0000-0002-9884-6201

Selected Publications:

  1. Shcherbakova, G., Antoshchuk, S., Sachenko, A., Volkova, N., Rusyn, B., Rippa, S. (2023). Increasing the Accuracy of Determining RR Intervals of ECG using Wavelet Transform. The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. Dortmund.

  2. Huan, W., Shcherbakova, G., Sachenko, A., Yan, L., Volkova, N., Rusyn, B., Molga, A. (2023). Haar Wavelet-Based Classification Method for Visual Information Processing Systems. Applied Sciences, 13 (9), 5515. doi: https://doi.org/10.3390/app13095515 

  3. Liu, X., Krylov, V., Jun, S., Volkova, N., Sachenko, A., Shcherbakova, G., Woloszyn, J. (2022). Segmentation and identification of spectral and statistical textures for computer medical diagnostics in dermatology. Mathematical Biosciences and Engineering, 19 (7), 6923–6939. doi: https://doi.org/10.3934/mbe.2022326 

  4. Shcherbakova, G., Krylov, V., Qianqi, W., Rusyn, B., Sachenko, A., Bykovyy, P. et. al. (2021). Optimization Methods on the Wavelet Transformation Base for Technical Diagnostic Information Systems. 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). doi: https://doi.org/10.1109/idaacs53288.2021.9660927 

  5. Zahorodnia, D., Bykovyy, P., Sachenko, A., Krylov, V., Shcherbakova, G., Kit, I. et. al. (2020). Analysis of Objects Classification Approaches Using Vectors of Inflection Points. Lecture Notes in Computational Intelligence and Decision Making, 148–157. doi: https://doi.org/10.1007/978-3-030-26474-1_11 

  6. Shcherbakova, G., Krylov, V., Logvinov, O., Bilous, N. (2017). Adjustement of wavelet function parameters for analysis of non-stationary periodic signals with multistart optimization. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2017.8246361 

  7. Shcherbakova, G., Hao-Su, S., Krylov, V., Bilous, N., Antoshchuk, S. (2017). Estimation of the duration of RR-intervals of electrocardiograms by mean of multi-start optimization based on wavelet transformation. 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). doi: https://doi.org/10.1109/idaacs.2017.8095190 

  8. Krylov, V., Shcherbakova, G., Pisarenko, R., Bilous, N. (2016). Signal restoration by means of blind deconvolution based on optimization with wavelet transformation. 2016 Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2016.7905324 

  9. Krylov, V. N., Pisarenko, R. A., Shcherbakova, G. Y. (2016). Information technology of quality assessment of assembly units in radio equipment manufacturing. Electrical and computer systems, 23 (99), 127–131. doi: https://doi.org/10.15276/eltecs.23.99.2016.20 

  10. Shcherbakova, G., Krylov, V., Pisarenko, R. (2016). Information technology components selecting for equipment critical applications. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). doi: https://doi.org/10.1109/dsmp.2016.7583572 

  11. Shcherbakova, G., Krylov, V., Pisarenko, R., Logvinov, O. (2016). Automation of the data processing via clustering on the wavelet transform base. 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET). doi: https://doi.org/10.1109/tcset.2016.7452154