Igor Atamanyuk

Mykolaiv National Agrarian University, Ukraine
Doctor of Technical Sciences,  Professor, Head of Department 
Modeling, forecasting, filtering, recognition of random sequences and functions

Scopus profile: link
Publons: link
Google Scholar profile: link
ID ORCID: https://orcid.org/0000-0002-8127-6193

Selected Publications:

  1. Atamanyuk, I., Shebanin, V., Kondratenko, Y. (2020). Algorithm of Pre-whitening on the Basis of the Polynomial Canonical Expansion of Random Sequences. Proceedings of 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET-2020). Lviv-Slavsk. doi: http://doi.org/10.1109/TCSET49122.2020.235402

  2. Kalinichenko, A., Havrysh, V., Atamanyuk, I. (2019). The Acceptable Alternative Vehicle Fuel Price. Energies, Special Issue Economics of Bioenergy, 12, 3889. doi: https://doi.org/10.3390/en12203889

  3. Atamanyuk, I., Kondratenko, Y., Solesvik, M. (2019). Control of Stochastic Systems Based on the Predictive Models of Random Sequences. Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Springer International Publishing, 105–128. doi: http://doi.org/10.1007/978-3-030-21927-7_6

  4. Atamanyuk, I., Kondratenko, V., Kondratenko, Y., Shebanin, V., Solesvik, M. (2018). Models and algorithms for prediction of electrical energy consumption based on canonical expansions of random sequences. Green IT Engineering: Social, Business and Industrial Applications. Springer International Publishing, 397–421. doi: http://doi.org/10.1007/978-3-030-00253-4_17

  5. Shebanin, V. S., Kondratenko, Y. P., Atamanyuk, I. P. (2018). The Method of Optimal Nonlinear Extrapolation of Vector Random Sequences on the Basis of Polynomial Degree Canonical Expansion. Advances in Intelligent Systems and Computing. Cham: Springer, 14–25. doi: http://doi.org/10.1007/978-3-319-75792-6_2

  6. Kondratenko, Y. P., Kozlov, O. V., Kondratenko, G. V., Atamanyuk, I. P. (2017). Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Techniques. Complex Systems: Solutions and Challenges in Economics, Management and Engineering. Cham: Springer, 201–233. doi: http://doi.org/10.1007/978-3-319-69989-9_13

  7. Atamanyuk, I., Kondratenko, Y., Sirenko, N. (2017). Management System for Agricultural Enterprise on the Basis of Its Economic State Forecasting. Complex Systems: Solutions and Challenges in Economics, Management and Engineering. Cham: Springer, 453–470. doi: http://doi.org/10.1007/978-3-319-69989-9_27

  8. Kondratenko, Y., Khademi, G., Azimi, V., Ebeigbe, D., Abdelhady, M., Atamanyuk, I. et. al. (2017). Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies. Information and Communication Technologies in Education, Research, and Industrial Applications. Cham: Springer, 2017. P. 133–155. doi: http://doi.org/10.1007/978-3-319-69965-3_8

  9. Atamanyuk, I. P., Kondratenko, Y. P. (2016). Method of Generating Realizations of Random Sequence with the Specified Characteristics  Based on Nonlinear Canonical Decomposition. Journal of Automation and Information Sciences, 48 (10), 31–48. doi: http://doi.org/10.1615/jautomatinfscien.v48.i10.40 

  10. Shebanin, V., Atamanyuk, I., Kondratenko, Y. (2016). Simulation of vector random sequences based on polynomial degree canonical decomposition. Eastern-European Journal of Enterprise Technologies, 5 (4 (83)), 4–12. doi: http://doi.org/10.15587/1729-4061.2016.80786