Anatoliy Dovbysh

Sumy State University, Ukraine
Doctor of Technical Sciences, Professor, Head of Department
Department of the Computer Science

Scopus ID: 36052468600
Researcher ID: AAH-1630-2021
Google Scholar profile: link
ORCID ID: https://orcid.org/0000-0003-1829-3318

Selected Publications:

  1. Dovbysh, A. S., Martynenko, S. S., Kovalenko, A. S., Budnyk, N. N. (2011). Information-extreme Algorithm for Recognizing Current Distribution Maps in Magnetocardiography. Journal of Automation and Information Sciences, 43 (2), 63–70. doi:1615/jautomatinfscien.v43.i2.60
  2. Dovbysh, A. S., Budnyk, N. N., Moskalenko, V. V. (2012). Information-Extreme Algorithm for Optimizing Parameters of Hyperellipsoidal Containers of Recognition Classes. Journal of Automation and Information Sciences, 44 (10),35–44. doi:1615/jautomatinfscien.v44.i10.30
  3. Dovbysh, A. S., Moskalenko, V. V., Rizhova, A. S. (2016). Information-Extreme Method for Classification of Observations with Categorical Attributes. Cybernetics and Systems Analysis, 52 (2),224–231. doi:1007/s10559-016-9818-1
  4. Dovbysh, A. S., Moskalenko, V. V., Rizhova, A. S. (2016). Learning Decision Making Support System for Control of Nonstationary Technological Process. Journal of Automation and Information Sciences, 48 (6),39–48. doi:1615/jautomatinfscien.v48.i6.40
  5. Dovbysh, A. S., Moskalenko, V. V., Rizhova, A. S., Dyomin, O. V. (2015). Intelligent decision support system for medical radioisotope diagnostics with gamma-camera. Journal of Nano- and Electronic Physics, 7 (4),
  6. Dovbysh, A., Moskalenko, A., Moskalenko, V., Shelehov, I. (2016). Designing algorithms for optimization of parameters of functioning of intelligent system for radionuclide myocardial diagnostics. Eastern-European Journal Of Enterprise Technologies, 3(9(81)),11–18. doi:15587/1729-4061.2016.71930
  7. Dovbysh, A., Shelehov, I., Prylepa, D., Golub, I. (2016). Information synthesis of adaptive system for visual diagnostics of emotional and mental state of a person. Eastern-European Journal Of Enterprise Technologies, 4(9(82)),11–17. doi:15587/1729-4061.2016.75683